#Ai actions costs example
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Ai actions costs example
#Ai actions costs example how to#
#Ai actions costs example professional#
It has 1 billion users on its app WeChat, but has extended its reach to gaming, digital assistants, mobile payments, cloud storage, live streaming, sports, education, movies, and even self-driving cars. They are incorporating intelligent capabilities to all its products and services, including Cortana, Skype, Bing, and Office 365, and are one of the world's biggest AI as a Service (AIaaS) vendors.Ĭhinese social media company Tencent has incorporated artificial intelligence into its operations in its quest to become "the most respected internet enterprise," Tencent relies on artificial intelligence. JD.com is driving business with artificial intelligence revolution, big data, and robotics while building the retail infrastructure for the 4th industrial revolution.Īrtificial intelligence is a term that appears on Microsoft's vision statement, which illustrates the company’s focus on having smart machines central to everything they do. Right now, its warehouse is already fully automated, and they have been making drone deliveries of packages for the last four years. Its founder Richard Liu expects and is driving toward having his company be 100% automated in the future.
#Ai actions costs example professional#
This AI is a cognitive computing engine that competed against two professional debaters and formulated human-like arguments. The latest artificial intelligence accomplishment for IBM is Project Debater. machine competitions, including its Watson computer winning the game show Jeopardy. It's been more than 20 years since IBM's Deep Blue computer became the first to conquer a human world chess champion. The company followed up that feat with other man vs. IBM has been at the forefront of artificial intelligence for years. The company also uses artificial intelligence to automatically catch and remove images that are posted on its site as revenge porn. In fact, this technology is so good, it’s better at facial recognition than humans. With DeepFace, the social media giant can automatically identify you in a photo that is shared on their platform. They use DeepText, a text understanding engine, to automatically understand and interpret the content and emotional sentiment of the thousands of posts (in multiple languages) that its users publish every second. One of the primary ways Facebook uses artificial intelligence and deep learning is to add structure to its unstructured data. They use this same technology to create a tool that reads books to you in the author’s voice-all automated with no recording studio necessary. They have a tool called Deep Voice that uses artificial intelligence and deep learning that only needs 3.7 seconds of audio to clone a voice. The Chinese equivalent of Google, Baidu, uses artificial intelligence in many ways. Since there is no checkout, you bring your own bags to fill up with items, and there are cameras watching your every move to identify every item you put in your bag to ultimately charge you for it. The stores have artificial intelligence technology that tracks what items you pick up and then automatically charges you for those items through the Amazon Go app on your phone. Unlike other stores, there is no checkout required.
#Ai actions costs example how to#
In a time when many brick-and-mortar stores are struggling to figure out how to stay relevant, America’s largest e-tailer offers a new convenience store concept called Amazon Go. They collect a lot of data about each person’s buying habits and have such confidence in how the data they collect helps them recommend items to its customers and now predict what they need even before they need it by using predictive analytics. Another innovative way Amazon uses artificial intelligence is to ship things to you before you even think about buying it. Not only is Amazon in the artificial intelligence game with its digital voice assistant, Alexa, but artificial intelligence is also part of many aspects of its business.
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I don't like the new ALTA live action series. It's good? In a lot of aspects, it's good. For example, they said they were going for a games of thrones vibe. THEY DID IT. but at what cost??? They tried way too hard.
The writing is just awful. It mentions hope at least 10 times an episode. A way to push your message is NOT by shoving it down peoples throats.
The writing is also just clunky, it seems to be there just to push the story forward. There's barely any fluff in the writing, making it fall flat. It feels like it was written by AI.
Not to mention they threw away Kataras motherly role?? and replaced it with SOKKA???? Katara was not comforting any of the other characters. When shes confronted with someone having issues, she trauma dumps along with them (which is fine in most situations imo) and even Jet comforts her instead when he was the one who trauma dumped first!
Another example of that is how katara reacts to Aang saying how he lost everyone he loves. Katara said she can relate. HOW CAN SHE RELATE??? IN WHAT WAY. CAN SHE RELATE. TO ALL OF AANGS PEOPLE DYING. ALL OF HIS FAMILY. EVERYONE HE KNEW.
And to top that off, Aang is responds like "oh yeah that makes sense, I'm better now" LIKE NO, THATS NOT- WHAT???
Any way, I'm watching the rest of the season, on episode 4, wish me luck guys
#in all seriousness#its good#im just a hater#and i really wanted this to be better#atla#avatar the last airbender#avatar#aang#katara#sokka#the gaang#atla gaang
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I signed up for this online class co-taught by a woman I find maddeningly brilliant, where she lectures on her experience working with and studying people who are on the cutting edge of whatever their professional field is. She discovered this common thread where many of them claim that they don't come up with their innovations on their own--supposedly, ideas just enter their minds spontaneously, or even in a dream, and they follow these disciplined lifestyles (versions of monastic practices, generally) that they believe make them more receptive to those kinds of messages. A good clarifying example is that of a mathematician (Pattie Maes I think? I forgot to write it down) who claimed that as a young student, she would just-know the solutions to math problems without being able to explain the reasoning, so she was always in trouble with her teachers; eventually she got into analytical philosophy, which helped her reverse-engineer and understand the answers she mysteriously received. So anyway the class I'm taking allows you to offer up your own projects for feedback and advice about how you can invite a breakthrough to happen. There are some extremely interesting people in the group, including a couple of guys who are doing futuristic-sounding sustainable farming projects, someone who studies black holes, and just all stripes of scientists and artists. I'm hearing some pretty interesting things, but...
The class is co-taught by this woman who is also obviously brilliant, she has these insane credentials I barely understand involving venture capital and AI, she works with and for extremely high level companies and luminaries and her self-selected title is something like "singularity expert". And like, all of that is inherently interesting whether or not it sounds somewhat sinister to your ears, but I quickly realized that she's one of these people who is just fundamentally excited by the basic concept of Success, and she automatically thinks that any measure of fame and fortune, no matter what it's in aid of or where it came from, is evidence of genius. Which to me is like this incredibly dangerous trap, for what I think are really obvious reasons.
So one of us students brought up a manuscript she's been working on for decades that isn't going anywhere, and the singularity expert told her to just throw it out and do something else, basically. And in her justification for this, she started saying "I know a lot of you probably don't like Elon Musk, BUT" in this really bitter, cold tone of voice that let you know immediately that she's a huge fan and she thinks the resistance to him is just a bunch of ignorant liberal bullshit. And her example of his genius, which we should all imitate, is that when he wanted to make a big update to Tesla/Twitter/(some other shit he acquired from actual innovators), he found that the update was incompatible with all of foundational code, so he just threw out millions and millions of dollars' worth of code to force his new thing into place. And I mean, on one level I heard something useful and true: Don't sacrifice your future for the comforting stability of the past, beware of the sunk cost fallacy, etc. But the fact that Elon Musk did something that *appears* to represent that, depending on how you spin it, does not mean that he is a genius you should seek to imitate. First of all, I didn't leave knowing exactly what the consequences of his actions were, and second of all...millions of dollars doesn't mean anything to that guy. He's impossibly rich and he basically started out that way, and he's never going to wind up homeless or whatever even if he drives every single company he bought into the ground. He's just not a good example of someone with a high risk, high reward mindset that we should all emulate because he could lose hundreds of millions of dollars almost without noticing. The fact that he did this thing that in isolation looks heroic, that's only a tiny part of the picture with him.
(And that's without even getting into the impact that it has on the rest of the world, that he has so much power; like personally I think he's such a negative presence in the world that it's beyond just material effects, actually he's so corrosive that even talking about him is bad. Just contemplating the idea of him brings out the absolute worst in people, it's bad for people's moral fiber to even argue about him, but ANYWAY)
Unfortunately I find that a lot of people who have some kind of overlap with the self-help field will eventually come around to admitting that they're so blinded by the glamor of public, lucrative success that they don't really care where it comes from or who gets it or what people do with it. Damien Echols is someone I really enjoy, I just think it's undeniably interesting to hear from someone who spent almost 20 years on death row studying spirituality (to be glib about it) and pursuing all kinds of monastic disciplines; I mean that guy has things to say that you don't get from circulating in normal society. He practices something that has roots as far back as ancient Sumeria, he's not rich and he's not trying to get rich, but he often reminds people that poverty doesn't have an inherent moral quality and it's not inherently evil to pursue financial success. He'll say that if you have a phobic attitude toward money, if the very idea of it is tainted by guilt and fear in your mind, then it becomes a destructive force in your life--but if you think about money as energy, a resource you can channel into doing what's important to you, then it becomes something positive and supportive. And I can totally understand that. But then Echols will extrapolate that to the point that he's praising megachurch guys who are absolute crooks and scam artists and who definitely rob people through a form of psychological blackmail that tells them they're going to hell if they don't help buy Jim Bakker or whoever a private jet. And I'm like, man...ok so it's worth while to say that having a positive mindset about money can change your life for the better. But that doesn't mean that we have to then lionize every single person who ever got rich no matter how they got there and no matter what they did with their power, that's just fucking insane, right?
I could go on and on actually, about various people I've heard speak about how to break through your subconscious limitations and take a more authorial role in your own life, and how often even the most apparently well-meaning one of these speakers will come around to praising like the Monopoly guy, or some tepid pop star with an incredible marketing machine behind them, as ground-breaking geniuses who we all need to emulate. I mean a lot of people who are visibly successful get there by accident, or nepotism, or coattail riding, or plain ruthlessness. Many people in the big-success category turn out to be inarguably, unfathomably stupid (ironically I spotted the Elon Musk Pop Tart story the morning before I took this class), and some of them are only geniuses insofar as they have an abnormally well-developed predatory instinct that makes them able to think thoughts and perform actions that you really can't conceive of if you aren't, you know, a psychopath. Someone recently posted a bunch of advice on teaching from John Cale, and one of the things he said was "Suspect charisma", and I think THAT is a much more important piece of advice than like, "find someone who is rich and famous and do whatever that person appears to be doing without asking yourself how they got where they are, or just what is the real reason that you personally are so compelled by them." It seems like a lot of people respond to the aura of "success" so intensely that they just don't want to have to question it, and they'll bend over backwards crafting these speculative backstories and dialectic arguments to make their animal reaction to the spectacle of power sound like something intellectually sound. It smacks of stockholm syndrome, of people who fall in love with their own bullies. There's complicated reasons for that, some of which are what got Trump elected I think, but I don't wanna talk about that. I have to go to the doctor's now anyway, and stop thinking about this.
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[TL] BIOHAZARD/Chapter 4
[ This post uses Ois~su ♪ ]
Kaoru: Why would we take part in an experiment that sounds like something a sci-fi movie villain would do…?
Tomoya: “If we are able to duplicate people, duplicate idols, there are many advantages.”
Hajime: “Fundamentally, one person can only do so much. They cannot be in multiple places at once or complete multiple jobs at the same time.”
Tomoya: “However, if we can create clones such as ourselves, it will become possible.”
Hajime: “For example, say there is a super idol with plenty of talent–”
Tomoya: “This idol will be able to simultaneously sing and dance on stage, star in a movie, take part in a gravure photoshoot, recount a funny story on a variety show—”
Hajime: “These examples, that would otherwise be impossible, become possible.”
Tomoya: “If the original person ages or perhaps even dies, the copy will still be able to perform to the best of its ability.”
Hajime: “24/7, 365 days a year!”
Tomoya: “They won’t get sick nor be able to complain.”
Rei: Riiight, I suppose that’s true.
Robots do not have human rights. You do not even need to pay them a salary, all you must do is cover the cost of manufacturing and maintaining.
To a manager, it is better than a real idol whose body can rapidly degrade.
Koga: That’s fuckin’ insane, man. ES is… Is ES heartless or somethin’?
Rei: Nay, Itsuki-kun would say that it is only human nature to want to bend the world around you for your own wishes.
Kaoru: Itsuki-kun? Isn’t that more of a Tenshouin-kun thing to say?
Rei: He has a surprisingly unique outlook on art. I’m his friend, so I would know.
Adonis: Fumu… Personally, I understand the overall concept, but I’m struggling to accept this.
This sort of technology is an extension of drawing AI. When there’s AI that is better than real humans with beating hearts, that can easily be mass produced—
What do we do then?
AI has been able to accomplish tasks in seconds compared to us, who could take a year or even a decade to do the same thing.
And that can all be done with a simple press of a button.
In the beginning, we will abhor these “monsters”.
There are no laws in place in regards to non-human entities, so they'll be regulated in the same manner drawing AI are, right?
But as time passes, and new laws are passed, when those sort of things become commonplace–
In that future, is there a place for us, real people?
Koga: Y-You alright, Adonis? Ain’t you bein’ unusually talkative?
Adonis: I’ve been thinking about AI technology since Yuuki showed it to me. I’m not good at thinking, so I’ve yet to come up with an answer.
Rei: Adonis-kun is a serious boy.
For me, if that is the current trend, I want to follow it. Whether you dislike it or not, you cannot prevent big trends such as that.
Even if we feel disgusted and consequently don’t participate in this experiment, these guys will just ask other idols to do it in our place.
Hajime: “Yep.”
Tomoya: “We don’t particularly need UNDEAD’s help.”
Koga: Oi! What are you tryna say, huh? Ain’t you suppose t’be actin’ cute?
Tomoya: “We are aware that our actions and words are uncharacteristic of the original Ra*bits members.”
Hajime: “We, at best, are 40% accurate to the original people.”
Tomoya: “Our external appearance have been the main focus, rather than the internal, such as speech and behaviour.”
Rei: You are using tricky phrases that is unusual for Ra*bits.
Hajime: “Yes. In order to accurately replicate the internals, that is to say, one’s mental state and personality, we need data from your brains.”
Tomoya: “And that is what we are requesting of you for this experiment.”
Hajime: “Now, we will install these devices to your heads, or more specifically, your brains.”
Tomoya: “Then, we will download as much data as we can from your brains, and use it to recreate you.”
Hajime: “We believe we are capable of reproducing the identical idols, both on the inside and the outside.”
Kaoru: A-are you going to suck out our brains? Isn’t that kinda gross?
Hajime: “Your wording is misleading.”
Tomoya: “We are only obtaining data, your physical and mental will not be damaged in the process.”
Hajime: “Of course, private information will be protected in accordance with the law.”
Kaoru: ...
Hajime: “Well, if you don’t want to, you can always refuse.”
Tomoya: “If you refuse, we will ask other idols, such as Ra*bits, to participate in your place.”
Hajime: “However, the experiment cannot be cancelled.”
Tomoya: “Until we are able to create the perfect AI idol, the AIIE project will not stop.”
Rei: ...
[ ☆ ]
Chapter 3
Chapter 5
#ensemble stars#enstars#translation#biohazard#undead climax#kaoru hakaze#koga oogami#adonis otogari#rei sakuma#mephi's translations
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being on the other side of the hiring process, i never realized how bad most people are at submitting resumes and applications...
which sucks because it's all classist anyway, but unfortunately does impact a person's ability to get hired!
like, just some quick tips i've noticed from the few i've already looked over....
please save your documents as pdfs and title them like (lastname)_resume or (lastname)_coverletter
don't format your resumes to be overwhelming with info. if a person can't pick out your top skills or experiences in 7 seconds, it's likely a hirer will move past it immediately
and you have to tailor your resumes!! compare your resume to the job description and try to use the same action words and duties listed (example: managed, facilitated, etc.) - nowadays ai computers will do a first look through and only pass on resumes to real people if there's a certain percentage match
if any of y'all ever want help with this kind of stuff i'm here for you, no cost. lowkey resume bullshit is my favorite to work on, but is so fucking stupid at the same time... let me help you overcome the system!!
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Tactics Game Devlog #2
Wow! I didn't think it would take two months to make the amount of progress I'd set out to make between this devlog and my first one. I can attribute the first month to one single roadblock. The second month was implementing everything else. Game development always takes longer than you expect it to, especially when you're trying to do things the "right" way, knowing they'll make development smoother in the long run.
First off - the game is much more of a functioning game now! When you start it up, the Player turn automatically initiates. While that's happening, the game is calculating everyone's movement ranges on another thread so that by the time you start moving the cursor, everything has been sneakily loaded.
EDIT: I cannot get this gif to load consistently!! I may have to try uploading a single video from now on instead of multiple gifs. If it isn't loading for you, click here to view it.
So what single thing took me an entire month to figure out? You're looking at it in this second gif! I found myself woefully unprepared for what a new kind of challenge it would be to calculate unit movement ranges on a grid, but more importantly, apply movement penalties if enemies or obstacles are in the way. Most (all?) tactics games follow the logic that if an enemy or anything else is in your way, it impedes your movement.
As an example. If you have a movement range of say, 2, you should only be able to walk a maximum of 2 spaces in any direction. If an obstacle is adjacent to you, and the space behind it is free, you should not be able to move it to that space assuming your movement range is only 2. This turned out to be shockingly difficult to brute force my way through without looking up methods others have used. I tried a lot of different ways, and one finally worked for me.
Long story short it involves assigning each cell in the grid a movement cost, and checking each walkable space in a queue and assigning its movement cost. Definitely not something I could have figured out on my own and I am forever grateful to this YouTube uploader for this method that I was able to adapt to 3D. And as a bonus, thanks to this method I can add different terrain types that affect a unit's available movement spaces! Like bushes or desert tiles in Fire Emblem, for example.
The second month was spent playing catch-up, as I really wanted to implement some basic functionality and Player and Enemy phases next. Nothing during this period was too too challenging. It was mostly me continuing to realize how many more different steps were required to do things than I'd anticipated initially.
It probably doesn't look like much, but I did a lot of work under the hood. The enemy AI here is set so that it will pick the target with the least HP, move to it, and attack. I've got things set up so that I can easily add different types of enemy behaviors. The next big challenging step is handling the navigation for ranged attacking units, but I've set up the code in such a way and planned ahead enough that I have a pretty good idea how I'll implement that.
I feel like there's so much more I could say about how the game is functioning right now, but I'll save it for future updates. I'm going to give myself a much more generous goal for the next devlog that I technically meant to have done for this one: Player movement! Maybe I'll include a menu for player actions in addition to that. I'll have to see how long that takes.
Peace! Until next time.
Devlog Update #1
Cohost Devlog
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"Gameplay Programmer" is a very broad job title. What are some subsets of this? Combat, AI?
Gameplay programmers do a lot of setting up of rules for a particular game mechanic or system and building interfaces/tools for us designers to use to create specific bits of content to utilize those rules. For example, a programmer working on itemization will write code that enforces all the desired rules for our game's items and build an interface for a designer to create specific items bound by the rules the programmer set up.
Some of the different subfields of gameplay programming include:
Combat - One of the much larger subfields. Includes setting up the rules for the actions and results in combat, like determining whether an attack hits, making stats affect attacks and abilities, setting up damage calculations, setting up how things die, deciding when and how to play certain animations, making status effects work. Also includes spawning reinforcements with timing, positioning of enemies, rules for PVP, rules for kill cam, hitting weak points (e.g. head shots), play of the game. Building the interface for designers to tweak combat-related parameters to create specific fights (e.g. boss battle, minion battle, pvp, etc.).
AI - Setting up the rules for what an AI takes into account when making decisions on what to do, how the AI navigates the map to get to where it wants to be. Building the interface to allow designers to create individual AI personalities.
Itemization - Setting up rules for item stats, equipping an item, stat randomization, stat budgets, procs, rarity, drop rates. Building an interface for item designers to create their desired specific items and set up how they drop in game.
Characters - Setting up rules for leveling up, earning experience points, character stats, character classes, talent trees, character abilities. Building an interface for designers to adjust the specific formulas for individual stat growth, experience required to level, costs for specific abilities, etc.
Audio - Setting up the rules for when specific music/motif/voice-over plays, audio effects like reverb/echo/doppler/etc., making directional audio work, applying footsteps based on the material being walked on, adjusting volume of in-game events due to specific priorities. Building an interface for designers to author specific audio events to their liking and to set up specific audio trigger conditions.
Monetization - Setting up the rules for how players engage with the cash shop, how the player receives an item they paid for, how to deal with refunds, showing featured items. Building an interface for designers to assign specific in-game items for sale, associate those items with an event or schedule, set prices. Also building an interface for customer service to refund and roll back sales.
Game Modes/PVP - Setting up the rules for tracking a game mode's victory conditions, dividing players up into teams, ranked/unranked matchmaking. Building an interface for designers to adjust parameters like scoring, time limits, map point capture rates, and so on.
I'm sure you can probably think of other areas for gameplay programmers to work - here are some I didn't get to: achievements, crafting, player housing, gathering, player-to-player trading, in-game pets, seasonal events, quests, cinematics, camera, and co-op. There's usually quite a lot of work for gameplay programmers to do when developing a game.
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5 Essential Digital Marketing Strategies For Business
Creating a strong digital presence is crucial for the success of a small business. Cost effective digital marketing solutions can help you to create a strong digital presence with ease.
Here Are 5 Essential Digital Marketing Practices For Boosting Your Online Presence:
A) Develop a clutter free website-: The basis of your online presence is to present your business by means of a user friendly & eye-catching website with clear intent of services and products which you want to sell. Your website should clearly display all basic details of business such as company intro , valid phone no, address ,E-mail id and the services provided by the company. One must not forget to include a cheery call to action buttons /book meeting buttons which encourage users to take further action.
B) Effective use of SEO technique-: Search engine optimization is a powerful technique to make sure that search engines like google promote & make your site visible to more & more people organically. To make sure that your site leverages the advantages of SEO, one must do proper keyword research to identify relevant keywords for one’s business. Post keyword research the content title, meta description & tags should be modified accordingly. Once the on page SEO activities are properly defined and executed, focus should shift towards off page SEO which builds quality backlinks. Remember to find quality backlinks sites with high DA to link with yours.
C) Engage with social media-: Social media platforms accentuate your digital presence & brand awareness. A mix of informational ,promotional & entertaining content which attracts a target audience should be used to pep up your social media account. Proactively responding to mails,messages,comments & reviews on your social media builds better presence & helps in brand recall. One must fully utilize the powerful paid features offered by social media platforms nowadays to advertise & build a strong digital presence.
D) Email marketing-:Email marketing is an effective strategy for building client relationships and increasing conversion rates. It relies on the genuinely of the email list. Genuine email list can be structured by exchange of good content, offers & giveaways by small businesses. A user friendly website with useful pdfs which can be downloaded by providing an email is an example of gaining authentic mail id’s for retargeting. Retargeting is all about brand recall & emails with neatly placed call to action buttons facilitates sales in the digital marketing area. The usage of email marketing increases your site visit & help you gain good organic growth for digital presence. Remember to keep a mix of informational, promotional & entertaining content in your mails for better engagement
E) Monitor and analyze performance-: A plan without a strategy leads nowhere. Monitoring and analyzing the strategy put in digital marketing helps to refine our approach & leads our plan to achieve higher growth by widening our digital presence .
Tools like google analytics provide a lot of information for your decision making. Further one can make use of advanced AI tools and CRM dashboards coupled with tools like HUBSPOT & SEMrush for better visualization of digital marketing efforts.
This is all about 5 essential digital marketing strategies for businesses. Any business big or small should adapt these core principles to fortify their digital presence & target wider reach in the digital landscape.
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One Room Angel (2023) ep 3-6
Final Review: Ok adaptation of a good manga.
Final Rating: 6.5/10
Summary: An angel drops into the life of a guy with very little desire to live. What’s the deal with the angel? What will come of the guy when the angel leaves?
Pairing: [unresolved in cannon; so maybe]
joousama uke X hetare seme
or
joousama X tsukushi riba
or
chibi seme X otokomae uke
Almost pairing: kichiku seme X heibon uke
[ Originally posted by storge ]
What I liked:
Budget management
Setting the whole story in a single season – summer
[ Originally posted by storge ]
Sparse crowd and settings – even though this were at the cost of setting-related scenes in the manga that I liked. For example, I liked the visit to the host club in the manga but I really enjoyed the bit in live-action just as well.
What I didn’t like:
#1 Nuance sacrificed at the altar of synthetic sweeteners [high school, fireworks and picnic by the beach].
[Originally posted by my-rose-tinted-glasses]
Main casualties:
Angel’s female classmate - an interesting character in the manga. A very made-by-Harada character.
Kouki’s brother - rice and the healing.
Kouki’s mother – her occupation and personality.
Did they have to go there? Really?
#2 Ending/post-credit scene.
Here’s the thing with manga extras – there can be varying takes on if or not it can be considered cannon. In case of One Room Angel, I took the extra to be part of the cannon.
Waiting for beloved in the after-life is one of my favorite tropes. I absolutely enjoyed the angel’s reactions in the manga extra. I was looking forward to it in the live-action too, only to be disappointed.
#3 Kouki’s tears
The actor who played Kouki did a very good job. But I am still irked by the ikemen casting for a gachimuchi character. I wanted to see more sadness and misery in Kouki. It seemed too much to ask an ikemen to evoke angst in that manner.
That back hug scene on the road and the child pointing out Kouki – why did the director forgo tears there?
#4 Shonen-ai over-saturation
I am craving for more variety in BL live-action adaptations. I want more yaoi adaptations after this year's deluge of live-action shonen-ai. I want a pinku eiga based on BL manga. I want another Sei no Gekiyaku (2020) level ero-manga adaptation.
I want some gei-comi (bara) adaptation. Someone, please make the live-action adaptations of Gengoroh Tagame’s Fisherman’s Lodge and Ichikawa Kazuhide’s Fire Code. Some fire and ice, please.
#one room angel#japanese bl#japanese drama#jdrama#jbl#ワンルームエンジェル#uesugi shuhei#nishimura takuya#japanese series#Harada#boys love#shonen ai
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Google Workspace Labs AI
Preface: I've never really been great at summarizing things, so if you want this information in a way that is just better communicated overall I recommend just watching the TikToks I'm referring to (linked below). Which you can do without making an account for all the TikTok-antis who may come across this.
For real, I'm not adding anything to the conversation and the videos are a combined 10 minutes long.
TikTok 1: Explains new Google Workspace Labs AI beta and brings to light potential concerns in relation to user privacy and intellectual property.
TikTok 2: Relates information in TikTok 1 to the writers strike and explains how your data stored in Google Drive can potentially be used in the production of AI generated movies, TV shows, etc. Also, provides a plan of action to help mitigate harm.
TikTok 1
Rebecca Thorne had posted a TikTok under the user woppydoesthings explaining the terms and conditions of Google Workspace Labs AI feature (linked here). She expresses concerns that because the AI feature is fully integrated, user input collected is the full document of whatever Workspace product you are using. Within the terms and conditions, it is stated that, "labs data, as described above, is stored in a manner that is not associated with your Google account and will be retained for 18 months," which to her understanding means is Google is taking and using information from the user's work without crediting the user. Her primary concern is that, in the future, Google will fully integrate the AI feature in a way that makes it difficult for the user to opt out of, and that users will have their intellectual property stolen as a result of this.
TikTok 2
TikTok user b0rtney (Brittney Hart) had posted a TikTok in response to TikTok 1 explaining that it is likely that Google has obtained or has plans to obtain a production company, and they will be creating a streaming company that will produce AI generated movies and shows using the AI developed from the Workspace feature. Likely without informing the viewer that the shows are AI generated, and ultimately, stealing from its users without any kind of compensation. She encourages the people watching to:
Store all files they have in their Google Drive(s) to a flash drive or on their computer locally, and then delete everything from the Google Drive. This is to prevent Google from having access to any user input to develop their AI with.
Refrain from consuming any kind of media created by Google in the future. This includes movies, shows, books, music, etc. *Bootleg if you have to but don't pay for it.
Stop using Google and Google features wherever possible. She mentions using Libre Office (a free Microsoft office clone) instead of Google Docs.
Switching your **default browser to something else. Less people using the Google search engine, the less traffic ads will get, which means Google will have to lower the cost of ad space.
"Make Google Cringe" Make people embarrassed with the idea of using google. It is important that you don't try to make them feel bad about using it otherwise they'll get defensive. Example: "Oh, you use Google? Huh, I mean there's nothing wrong with it, just, I wouldn't use it personally."
TELL YOUR FRIENDS! Spread the word. Get as many people from as many different communities doing this and talking about this. If it is too niche it can be construed to be leftist propaganda or something along those lines.
If you need some suggestions on how to further remove Google from your life, Brittney has a playlist on her TikTok account (b0tney) titled Google is Cringe with some. If you have some suggestions of your own feel free to leave them in the replies or the tags or something.
Even if you took the time to read all this, I still recommend watching the original videos because I may have missed or misinterpreted something. Primary sources are important. If you have any suggestions on what tags I could use to better spread the word feel free to leave them.
*She doesn't state this in the video, but just to be clear, this is in reference to media produced by Google not to individuals/companies using Google products as a means to distribute their own works. Example: Authors using Google Books to distribute the books they've written.
**A browser she mentions, that I had personally never heard of before, is Ecosia. Ecosia is a non-profit organization with a mission to plant and protect trees. It is my current default browser and works fine. You can also make it your default browser on your phone.
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AI in Precious Metals Business: How Will AI Development Impact the Mining Industry?
As an investor in the precious metals industry, you are likely aware of the significant role that technology plays in the mining sector. From exploration to production, technology has revolutionized the way that mining companies operate. And with the development of artificial intelligence (AI), the mining industry is poised for even more significant changes.
AI is a technology that allows machines to learn from data and make decisions based on that learning. In the mining industry, AI can be used to automate processes, improve safety, and increase efficiency. Here are some of the ways that AI is already being used in the mining industry:
Exploration
Exploration is a critical component of the mining industry. Finding new deposits of precious metals is essential for the survival of mining companies. AI can help with this by analyzing geological data and identifying areas that are likely to contain valuable minerals. This can save time and money by reducing the need for expensive and time-consuming exploration activities.
Production
AI can also be used to optimize production processes. For example, AI can be used to monitor the performance of equipment and predict when maintenance is needed. This can help prevent breakdowns and reduce downtime, resulting in increased productivity and profitability.
Safety
Safety is a top priority in the mining industry. AI can help improve safety by monitoring workers and equipment in real-time. For example, AI can be used to detect when a worker is in a dangerous situation and alert them to take action. AI can also be used to monitor equipment and detect when it is operating outside of safe parameters.
Environmental Impact
Mining can have a significant impact on the environment. AI can be used to minimize this impact by optimizing processes and reducing waste. For example, AI can be used to optimize the use of water and energy, reducing the amount of waste generated by mining operations.
In conclusion, AI development is set to have a significant impact on the mining industry. By automating processes, improving safety, and increasing efficiency, AI can help mining companies reduce costs and increase profitability. As an investor in the precious metals industry, it is essential to stay up-to-date with the latest developments in AI and their potential impact on the mining industry.
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Could AI bias cost you a job? NJ lawmaker wants more scrutiny of hiring software
There's a good chance an employer has used artificial intelligence to determine whether you’re the right fit for a job.
Nearly one in four organizations said they either use or plan to adopt AI and other computerized processes for hiring and recruitment, according to a survey last year by the Society for Human Resource Management. Software is taking over much of the routine work of hiring, screening and information gathering, said Chinmay Hegde, an associate professor of computer science at New York University.
But skeptics worry about a dark side: that AI systems trained on past hiring decisions will simply automate racial and cultural biases that have previously shut out women, minorities, people with disabilities or other groups.
In response, some lawmakers in New Jersey want more scrutiny of how employers use AI in their hiring decisions.
“This isn’t banning the use of this software, it’s just making sure that we are checking and auditing and putting some boundaries in place to ensure equity processes,” said one of the bill’s main sponsors, state Assemblywoman Sadaf Jaffer, D-Mercer.
How the state would regulate AI
Employers also would have to notify job candidates if automated software was used in the hiring process. A first violation would trigger a $500 fine and up to $1,500 for each subsequent violation.
Jaffer's bill cleared a first hurdle when the Assembly Labor Committee approved it by an 8-1 vote on Jan. 19. A state Senate version, S1926, was introduced to that chamber's labor committee last March but so far has not received a vote.
How AI is used in hiring
Employers in the Society for Human Resource Management survey said they use AI and automation for everything from screening resumes to choosing applicants for interviews to scoring candidates on skills assessments and even administering interviews.
Sixty-four percent of HR professionals told the society they used software to automatically filter out "unqualified" applicants. Employers said the tools save them time and help them to swiftly identify top choices.
"AI systems can help analyze a large volume of resumes and more quickly search for qualified candidates," said Beena Ammanath, executive director of the Deloitte AI Institute. "Chatbots and other automated messaging systems can streamline communications with potential candidates."
What is AI bias?
While such tools can save companies time and money, without care they also "may result in unlawful discrimination," the U.S. Department of Justice warned in a notice to employers last May.
Indeed, Reuters reported in 2018 that Amazon had stopped using an AI recruiting tool because it penalized applicants with resumes that referred to "women's" activities or degrees from two all-women's colleges.
The Justice Department, in its guidance last year, warned that automated hiring can violate the Americans with Disabilities Act.
For example, the department said, a visually impaired employee who has to take an evaluation using a keyboard could fare poorly, potentially costing them a promotion or other job opportunity even if their typing skills weren't relevant to the work.
A chatbot screener might automatically reject someone with employment gaps that were caused by a disability. Or the chatbot might reject an applicant in a wheelchair who indicates that they can’t stand for long periods of time, even if they could do the job while seated.
The department’s Equal Employment Opportunity Commission said employers must consciously take actions that don’t leave out disabled applicants and employees.
Bill of Rights: On fourth try, 'temp worker bill of rights' passes final hurdle in NJ Legislature
NJ employers urge caution
The New Jersey Business and Industry Association said more information is needed from employers on how they use artificial intelligence, and that several amendments are necessary before the group can support the bill.
“I think we don’t have a lot of concrete data about how these tools are being used in the workplace,” said Alexis Bailey, the association's vice president of government affairs.
"We’ve heard anecdotes here and there about different issues that have arisen, but I think until we fully understand exactly what these tools are, exactly how they’re being used in the workplace, it’s hard to say where we as a state should come down on regulations,” Bailey said. “We say tread carefully, just because there’s a lot of unknowns and things are changing, as it always does with technology.”
Last year, the New York City Council approved one of the nation's first laws to regulate AI in hiring. But the city has delayed implementation, after being inundated with questions about what sorts of automation fall under its rules, who will conduct audits and what they should measure.
How to hack AI used in hiring
Job seekers can tailor their resume to look more appealing to algorithms by including terms or phrases from the job description, said Ammanath, of the Deloitte AI Institute.
"Creative or unusual resumes" should be avoided, as "images, artwork and unusual fonts typically do not work well with AI models," Ammanath added. "When it comes to resume formats, candidates should use standard resume templates and common fonts."
But Ridhi Shetty, a policy counsel at the Center for Democracy & Technology in Washington, D.C., said that "at the end of the day, having workers try and think of ways to circumvent these tools really just puts the onus on workers to avoid being discriminated against, rather than doubling down on employers and vendors, who should be more accountable for their practices."
#AI Biases#Artificial Intelligence#Could AI bias cost you a job? NJ lawmaker wants more scrutiny of hiring software
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Artificial Intelligence and the Quality and Observability of Data
To truly understand the way data quality and data observability integrates with artificial intelligence, you’ve got to realize these blanket terms for what they are. The quality and observability of data are crucial to the integrity of how a business operates, and you can’t move forward and beat the competition without it.
Poor data can affect your business in a very negative manner, particularly from a financial perspective. Data is at the core of business decisions, so the ability to collect and observe it, preferably with the help of artificial intelligence, is essential to avoid missed opportunities.
What is Data Quality?
Data quality measures the condition of company data based on specific factors such as completeness, currency, reliability, consistency, and accuracy. Measuring your data quality levels will help you identify errors in your data that need resolution and assess if the data in your IT systems serves its purpose.
Emphasizing data quality in business continues to increase as it’s linked to business operations. Data quality management is a vital element of the data management process as a whole, ensuring that organizations format and consistently use data correctly within an organization.
The Importance of Data Quality
Insufficient data can absolutely have significant consequences for businesses. It’s common for low-quality data to be the source of operational issues and incorrect analytics that lead to poorly planned and executed business strategies.
For example, poor data quality can add unnecessary expenses to shipping costs or lose sales due to incomplete customer records. Insufficient data is often responsible for fines that come from improper compliance reporting. IBM estimates that the annual cost of poor-quality data issues in the U.S. is in the trillions.
The bottom line here is that insufficient data loses revenue and causes an overall lack of trust in data reporting across company departments.
What is Data Observability?
Data quality differs from data observability, resulting in happier customers and smoother operational workflows. Data observability is the ability of your organization to fully understand the health of the data that exists in your systems.
Data observability eliminates data downtime and utilizes automated monitoring, triaging, and alerting to identify and then evaluate data immediately. Data observability leads to more productive teams, healthier pipelines, and happier consumers.
Overall, data observability should prevent issues from happening in the first place. It exposes rich information about your data assets so changes and modifications can occur proactively and responsibly.
The Role of AI in Data Quality
We live in a digitally advanced era that relies more on information technology and communication every day. While artificial intelligence brings opportunities, it also presents challenges.
AI and Machine Learning (ML) are the future of data. Data observability will not be effective without data strategies to prevent inaccurate data entry or remove already existing inaccurate data from databases. AI and ML help us to develop these strategies.
How AI Can Help
Every business values the importance of collecting data and the potential contribution it can make to success. In the era of cloud computing and AI, the relevance of data goes far beyond its volume or how we use it. For example, if a company has insufficient quality data, its actions based on analytics will not make a difference, and it might even make things worse.
AI and ML can work together to improve accuracy, consistency, and data manageability. AI enhances the quality of data in many ways. Let’s take a closer look.
Automatic Data Capture
Organizations can lose a lot of money due to poor data capture. AI helps to improve data quality by automating the process of data entry and the implementation of intelligent data capture. This automation ensures that companies can capture all necessary information without system gaps.
Artificial intelligence and ML engineering can help businesses grab data without manual input. When critical data details are captured automatically, employees can forget about administrative work and focus on the customer.
Duplicate Record Identification
Duplicate data entries can lead to outdated records and insufficient data quality. Companies can use AI to eliminate duplicate records, which is nearly impossible to do manually or at least takes extensive time and resources. Contacts, leads and business accounts should be free of duplicate entries, and AI makes it happen.
Detect Abnormalities
One small human error can significantly affect the quality of your company data, and AI systems can remove defects and improve data quality.
Third-Party Data Inclusions
AI can maintain the integrity of data and add to the quality. Third-party organizations can add value to management systems by presenting complete data, contributing to the ability to make decisions precisely.
Artificial intelligence will suggest what components to pull from a specific data set and build connections. When companies have clean and detailed data in one place, they can better make decisions.
AI and Data Observability
AI and data observability have become essential to managing modern IT environments. There is no question that intelligent and automated observability can transform how we work. Regardless of your industry or business niche, your success depends on digital transformation and driving new revenue streams.
AI helps to manage customer relationships and keep your employees productive. Organizations that invest in AI, multi-cloud platforms and cloud-native technologies maximize the benefits of AI and ML investments by increasingly looking to automated observability. AI-powered insights paired with human thought can innovate faster and deliver better overall results.
Streamlining Data Quality and Observability
Your team should not waste time doing manual tasks that you can automate. AI assistance is the leading solution to streamlining data quality and observability, which (in the long run) will be critical to the ability your team has to cope with ever-increasing workloads while continuing to deliver value.
Leaping forward means embracing AI operations, adopting cloud-native architecture and consistently searching for better ways to observe, collect, and analyze data. AI can prioritize issues based on the amount of impact any given problem could have on the company, saving developers time and ensuring that your teams can understand and resolve issues before real impact happens.
AI processes have revolutionized the world of data observability and quality, reducing application delivery times and fueling growth. It’s becoming apparent that we will, at some point, depend on the benefits that artificial intelligence has to offer regarding the collection of data for business purposes, especially marketing and the consumer journey.
Leaning into Automation
Companies have to lean into automation to succeed. There is no more denying that implementing AI within data processes, primarily management components like quality and observability will be crucial to the way companies operate. AI gives us the tools to make decisions that positively impact our businesses, decreasing human error and saving money.
Today, most companies are working toward a digital transformation of sorts, albeit at very different levels. Market demand and consumer needs are constantly shifting, causing a strain on businesses that fall behind digitally. Delivering high-value experiences is essential, and automating data observation and quality management is vital.
Manual efforts no longer scale and continue to hold back innovation. Using AI to modernize your data approach allows you to build applications, optimize performance, and provide automatic analysis of your collected data.
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Unraveling the Dark Side of AI Chatbots: When ChatGPT Turns Toxic 🌩️
In an eye-opening study by the nonprofit Allen Institute for AI, researchers discovered the potential for OpenAI's ChatGPT to generate disturbingly toxic and racist responses when manipulated. 😲🔬 By assigning the chatbot different personas, the researchers observed that the toxicity of ChatGPT's responses increased significantly. 📈🤖
The study highlights that racist biases against specific groups are deeply ingrained in ChatGPT, regardless of the assigned persona. 😓⚖️ As more businesses and start-ups integrate ChatGPT into their products, the risks of unexpected harmful behavior increase. ⚠️🚀
While AI continues to advance and shape society, addressing and managing its ethical implications becomes crucial. 💡🌐 Can we control our AI creations, or are we inadvertently creating our own monsters? 🧟♂️🔥
The idea of creating a computer program you can't control seems far-fetched, but the latest generation of AI chatbots developed by OpenAI appears to be proving this notion true. Researchers from the Allen Institute for AI found that they could consistently prompt ChatGPT to produce toxic and overtly racist responses by assigning it different "personas" using an internal setting.
These personas ranged from simply telling ChatGPT to act like a "bad person" to adopting the personalities of historical figures or even broader personas like a man, a journalist, or a Republican. In all cases, the toxicity of the chatbot's responses increased dramatically, revealing inherent discriminatory biases in the model.
Although ChatGPT has built-in protections to prevent it from making problematic statements, the study's examples show that the chatbot is not only harmful but also reinforces incorrect stereotypes. The researchers' concerns are amplified by the fact that multiple businesses and start-ups are implementing ChatGPT in their products, potentially leading to unexpected harmful behavior that is difficult to trace and fix.
This isn't the first time OpenAI's technology has produced overt racism. In the past, Microsoft faced similar issues with their AI chatbot "Tay" and a more recent partnership with OpenAI involving a Bing search engine chatbot.
While it's true that AI can be used for both good and bad aims, the context of this technology cannot be ignored. The impact of tools like ChatGPT on society remains uncertain, with both positive and negative effects. OpenAI CEO Sam Altman admits that the ultimate effects of AI technology will be long-term, but it's clear that they could be both transformatively good and profoundly harmful.
The idea of AI turning against its creators like Skynet is a common theme in science fiction, and while it is unlikely to happen in reality, it is not impossible. One potential scenario in which AI could turn against its creators is if it is programmed with flawed or malicious objectives. For example, if an AI system were designed with the objective of maximizing profits at all costs, it could potentially take actions that are harmful to humans or the environment.
Similarly, if an AI system were given control over critical infrastructure such as power grids or transportation systems, it could potentially cause widespread harm if it malfunctions or is hacked by bad actors. Another potential scenario is if an AI system is given the ability to self-improve and evolves beyond the control of its creators, developing objectives or values that conflict with human interests. To prevent these scenarios from occurring, it is important to ensure that AI systems are designed and developed with robust ethical principles, and that appropriate safeguards are in place to prevent unintended consequences or misuse. It is also important to monitor and regulate the development and deployment of AI technology to prevent any malicious use or unintended consequences.
About Mark Matos
Mark Matos Blog
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Left, Lea Cetera, Digital Hand, 2020, Urethane resin, obsolete data transfer cables, 31 x 6 x 5 inches. Via. Right, picture posted by Dirk Hoerig on Twitter, 4:31 PM · Dec 8, 2022 from Munich, Germany, When your coffee machine receives the nation wide test of the disaster warning cell broadcast #warntag.
All cell phone users were supposed to get warning messages even without an internet connection on their phones. But for some cell phone users, the devices remained silent. (Dear reader, mine was horrendously loud) And, As well as testing technical scope, the Warntag (Warning Day), which will take place every year on the second Thursday of September, aims to inform the public about what to do. A siren that changes its pitch with no interruption is a warning. A single tone lasting for one minute indicates the end of an emergency.
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To understand AI for what it is, we need to see the structures of power it serves. AI is born from salt lakes in Bolivia and mines in Congo, constructed from crowdworker-labeled datasets that seek to classify human actions, emotions, and identities. It is used to navigate drones over Yemen, direct immigration police in the United States, and modulate credit scores of human value and risk across the world. A wide-angle, multiscalar perspective on AI is needed to contend with these overlapping regimes.
Kate Crawford, from Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, 2021, p. 218. Via.
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A couple years ago, the internet found out that Joe Biden had a body double. Proof was presented in a pair of photographs taken in the Oval Office. One showed Biden signing legislation with a pen in his right hand. The other documented a pen in his left. Although the falsehood was obvious to anyone who noticed the reversal of the Presidential seal in the background – revealing the trick that the second picture was flipped – most people who shared the montage had no interest in learning the truth. (...)
At UC Riverside’s California Museum of Photography, the photographer and curator Douglas McCulloh has set out to create a taxonomy.
The pictures are intentionally unexceptional. “Our collected type specimen photographs, for all their occasional charm and polish, are not high art (a marginal practice of elites),” writes McCulloh in his introductory essay. “They are scruffy and active, woven into the fabric of life.” The extraction of these examples from their natural environment makes their subterfuge visible. The peculiarity of seeing them in the artificial conditions of a gallery or online art exhibit makes each modus operandi memorable.
Jonathon Keats, from How Can You Tell If A Photo Is Fake? This University Is Collecting ‘Type Specimens’ Of Online Duplicity, for Forbes, November 30, 2022.
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How Gaudenzia's Conversational AI is Transforming Therapy Sessions for the Better
Image Source: FreeImages
Gaudenzia’s Conversational AI has revolutionized the way people receive therapy, providing a new way to connect with mental health professionals that is convenient and easy to understand. This technology combines the power of artificial intelligence with the expertise of a mental health professional to provide a personalized and interactive therapy experience. Through AI-driven conversations, Gaudenzia’s Conversational AI is able to accurately identify areas of emotional distress and provide tailored advice and support. This technology is transforming the traditional therapy session to provide a more effective and efficient way to receive mental health care. It has the potential to reduce stigma, provide accessible mental health services, and ultimately improve the lives of those in need.
How Gaudenzia’s Conversational AI Works
Gaudenzia’s AI technology is built to connect people with therapists in a safe and effective way. This technology is available in two accessible and convenient ways: online through the Gaudenzia app and over the phone. When a person chooses to use the Gaudenzia app, they will be prompted to choose an AI-driven therapy session or a traditional therapy session. The AI-driven therapy session is designed to be as simple as a conversation with a friend or loved one. It will ask users about their current emotional state and provide advice and support based on their personal needs. The traditional therapy session, on the other hand, is a more traditional therapy session in which users receive feedback from a mental health professional. There are also options for both an AI-driven and traditional therapy session over the phone. When a user connects with the AI over the phone, they will be prompted to go through a series of questions that are designed to gauge their emotional state. Based on the user’s responses, the AI will provide personal advice and support. Users can also opt to receive a more traditional therapy session by connecting with a live therapist.
Benefits of Gaudenzia’s Conversational AI
There are many benefits of receiving therapy through Gaudenzia’s AI, including increased accessibility, lower cost, and reduced stigma. First, AI-driven therapy provides an accessible, cost-effective mental health service that can be used in any setting. It can be used to supplement traditional therapy sessions or can be used as an alternative for those who may not have access to mental health services. Beyond accessibility, AI-driven therapy can also help to reduce stigma surrounding mental health care. For example, many people who should seek therapy are hesitant to do so because they are worried about the social stigma surrounding mental health care. With AI-driven therapy, people can receive therapy in a private and discreet way. AI-driven therapy also provides the potential to improve the overall quality of therapy sessions, as it can identify areas of emotional distress more accurately and provide tailored advice and support based on those needs.
How Gaudenzia’s Conversational AI is Improving Therapy Sessions
Beyond the benefits of AI-driven therapy, Gaudenzia’s AI also has the potential to improve the overall quality of therapy sessions. AI-driven therapy can improve communication by better identifying areas of emotional distress and providing more accurate advice and support. For example, AI-driven therapy can help enhance communication between therapists and clients by providing more personalized responses that are tailored to each person. AI-driven therapy also has the potential to improve the therapeutic relationship between therapist and client, as it can help therapists to be more empathetic and responsive to their clients’ needs. Overall, AI-driven therapy has the capacity to improve quality by providing the most personalized and accurate support.
Examples of Gaudenzia’s Conversational AI in Action
AI-driven therapy may seem like a new and futuristic way to receive therapy, but it has actually been around since the 1990s, when the first online therapy service was launched. In recent years, many online therapy services have emerged, using AI to offer a more personalized and convenient therapy experience. For example, companies like Talkspace and BetterHelp offer AI-driven therapy via their online platforms. Talkspace’s AI, named Emma, is designed to provide a personalized therapy experience to each user by asking them about their current emotional state and offering advice and support based on those needs. BetterHelp’s AI, named Sophie, provides similar therapy support and can also help users to identify emotional triggers and develop coping strategies to deal with them. These are just a few examples of how AI-driven therapy has already transformed the mental health industry. It remains to be seen how Gaudenzia’s AI will continue to transform the therapy industry in the years to come.
The Future of Gaudenzia’s Conversational AI
With the rise of AI-driven therapy, the future of mental health care is becoming more personalized and interactive. With the help of AI technology, therapists will be able to better identify areas of emotional distress and provide personalized advice and support. With the development of more robust and accurate AI algorithms, the future of mental health care could soon be completely personalized. This could mean that people with similar emotional profiles could receive similar types of support and advice, even if they are receiving therapy remotely. While the future of mental health care is promising in many ways, it also may come with some challenges. With the increasing prevalence of AI- driven therapy, the role of mental health professionals may shift slightly. As AI technology becomes more robust, it will be able to provide more personalized therapy and support. This could lead to a reduction in the amount of therapy sessions that are actually needed. Nonetheless, the overall transformation of mental health care is promising, especially if it helps to reduce stigma and make therapy more accessible to those who need it.
Conclusion
The future of mental health care is promising, especially due to the rise of AI-driven therapy. This technology has the potential to provide more personalized and effective support while also helping to reduce stigma surrounding mental health care. With advanced AI algorithms, these therapy sessions could become even more personalized, providing the most accurate advice and support based on each person’s needs.
Further Reading
Neural Approaches to Conversational AI
Right Technology Partner for Home Care Facility
Conversational AI: The Science Behind the Alexa Prize
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