spots with feelings, what risks and benefits does emotional intelligence closed with a i find out next on shift unless a chance thanks for watching dw, the be on the told story. details is going to be find it here. repos here. every weekend on d w. why do humming does not get drunk. why do gravitational waves squeeze all bodies? how much do we need to put

a stop comp claim for help find beyond this is getting smaller on dw science and outtake talk channel the i'm just gonna throw this on. what do you think struck a that's quite us, david. he's just talking to an a i chip on the space fields more it more like talking to an actual human being. but what does this really mean for us as use us? how well do they really understand us? and what are the risks that we face? checkbox becoming increasingly life like? take a trip to peachy for oh, by open a i. it can visually identify surroundings and recognize our emotions. the book even has some understanding of comedies. what do you call. busy a giant pile of kittens. i don't know what m. yeah, i'm saying the reality. that's perfectly the layer it is just how

useful is the newest version of chet c, p t. really cheap t for o is more human than ever. it can communicate emotionally and see its surroundings . the old steps will, on the, as in, on the put sense to model can work with text, audio and video making, beaten to action, more natural. take a look. and i wrote one last thing, i love it. you can take a look at, of course i'd love to see what you wrote, show it to me whenever you're ready. okay, so this is what i wrote down. what do you see? oh, i see i love chat to p t. that's so sweet of you. according to it's make of g p t for all cannot only express emotions. it's and recognize your emotions to it looks like you're feeling pretty happy and tearful. hey, i, systems learn to recognize emotions by being trained on corresponding data. so for example, by analyzing text, that leaves the smile to happiness,

that leaves tiers to sadness and a i is train to up to like in an optimization process to recreate this data. but what happens when a, i adults more human like traits? the model become indistinguishable from extra human. we tend to be very trusting of computers decisions, even if they contradict our own delete. that's according to research from as fairly as 1999 and more recent studies suggest the same checkbooks already convincing. but if they speak to us like a human being what they might be even more so, and that could be a problem because a, i can like it can invent fixed. it believes to be true. this is called lucy nation test. so that a i playing poco a video games have learned to bluff to produce of favorable outcome. please systems i know to be lying or making up things. and if something is very convincing septic

and making things up, just by, by natural behavior, i'm way more inclined to believe it best if it was dry objective text or, or reasoning that can be much easier to assess, such as nonsense or not. i don't know about you, but in a i chip bought deliberately lying seems pretty scary. it could trick us into giving away personal data like credit card details. and even if that doesn't happen, a chip both could be the future of online misinformation. that's why it's important that a i is trained with error free data and is able to understand the nuances of language correct. in india, there are 22 official languages and over 19000 dialects. plus some topics like sexual health aren't open. we talked about and that's web checkbooks could come to the rescue. the main of all of boats can also tricky questions about sex and health

in india. but it has to understand cultural nuances and different dialect. not only, and you know, one of the more thing was picking you diverse areas with um, you know, hundreds of languages within those languages. there are so many sub languages, some di, leg line not only slang within those languages. what's 9 but in defense within those families? so how do we then reduce onset as an attack board? that is mental stock implement that are maybe not listed through a standardized version of our language is advanced lots language models and able to check both to comprehend and engage in multiple languages. the l. m. used by the may not be a little f r trained to connect with uses and then native languages like velocity and even the sing list can be mixed with english. what, why people don't think that they will say something. but maybe a mom or i thought those days. oh really you can look for the different ways of themed themes. so pleasing that one lady was inclined to think that as if the just

look as well as that could be to be fired for the for that this f c use instead to having those metaphors from bias. most of the back end states of 8th is needed so the both can understand a problem correctly and doesn't get lost in translation or even worth create confusion with incorrect information or to move the nation. this requires intensive ground with the checks on, so that's that i bought provide and if it does it all, then we have a good i portion that we create. then we take all the product questions and the correct answers, and bc didn't back into the model. and that is actually 20 to 25000 questions as we are fact checking and ready not to do with our staff. we're also with medical professionals and doctors and health professionals have been in the field for 10 years. the nations is the issue that most across the industry. if you're trying to figure out how to do that, along with other things like it'll be by is gender bias committed to bias that

comes up in the don't. because it isn't the was the reason why this gender bias would be, does because the 10 devices back to the basics. how does in a i chip both learn to talk to its environment and know what to say. the most important component of chip thoughts is a so called l l m a lots language model. that's an a i program that can recognize and interprets human language. lots language model is an a i program that recognizes and interprets human language. l m. 's, use machine learning to understand how characters, words and sentences worked together. creating neural networks with many layers. processing large amounts of data based networks, learn by recognizing pets on, for example, in language, then waiting and scoring them. this network is learning to recognize the number 9, the more frequently a pets and of course, the more weight the network places on it. and this way impact is pets,

are reinforced. for feedback and repeated training l. m slow to understand and generate and natural language. the limits the foremans depends on the quality or training dates and l. m often trained with data from the internet. a pre selected data set is most suitable here because arrows can be filled out before hand the $25000000000.00 us dollars. we're invested in the development of genuine to a models such as chest u, p t in 2023 alone, 8 times more than the year before. and the market for a i software that can read your emotions is also growing. it doesn't even have to look you in the face. natural language processing software is being used by companies worldwide to analyze their customers and employees emotional states. the study conducted by jonathan chrysler during the cobra demik shows just how well the

systems work. the co founder and president of the motion a i start the rest of tippett t analyze the red posts of 6500 nurses and doctors with this proprietary software. looking at close to full 1000000 comments over the course of full years cried like you right to the data base for research as the world wide, the goal advance, the detection of psychological distress and trauma is actually an incredibly wide variety of insights that are available from our assessments, we can understand, you know, simpler concepts like personality, but we can also understand psychological traits and understand how people change in the moment depending on the context. what we found was that even early in the pen demik, even before the world health organization declared a pandemic, we could see some of the early indicators of what would ultimately lead to burn out . things like elevated cognitive load. all that is needed is everyday communication, such as e mails, select messages, or social media,

a polls. but why existing through communications, the software doesn't just look for obvious descriptions of feelings, but also for so called function words such as pronoun how we use these can review a lot about all mental states. people with depression, for example, use significantly more 1st person singular pronouns, like i and myself. according to a psychologist, people who are depressed, often highly self aware, also focusing this applies across languages and cultures and a i could help support the so called language of depression. whole lot of the patterns that exist that we're analyzing are the same across cultures and context. that's less of what people are talking about and how language can provide insight into how they're thinking about themselves and the context there and, and how they relate to the context or an answer. the other people around them is very much a social, psychological phenomena that we're focused on. and that exists regardless of the cultures or language is you're communicating. pay, i can not only analyze text,

but also voice messages. the use cases are plentiful, analyzing how people interact with checkbooks prompt companies, insights into the use this mindset. the really interesting recent use it for, for technology was to help with the vaccine uptake and underprivileged communities . so what one of our customers was finding is that if they could understand how some of these populations think and how they consume information, they can do a better job. tailoring the messaging around the benefits and really the reasons why this action should be used to this community and improve vaccine uptake. after conducting interviews with community members, the language model was used to create a detailed community profile. this allow to custom tailor the message to a specific part of the population addressing benefits and concerns and methods. and that comes from advertising and marketing and speaking,

coming more and more common so called trends of bots. i know also is using a motion a i to offer use of customized travel tips. just one example is the voice a i m a v. the f is currently being tested and based on your wishes and personalities. it's can put together a trip from new york city, for example. first, you'll have to write a few pictures and answer some simple questions. the up them creates a kind of psychological profile, a few, using that as a foundation who then receive personalized travel recommendations. but what does it mean for our privacy when a companies use our data? metal for example, officially says that it uses our publicly accessible facebook and instagram photos and text for training is a i what happens then? one of our programs that can analyze or facial expressions who uses this data and what for regulation can hardly keep up with innovation, leaving us exposed to potential dangerous. for

a i just fine acceptance and responsible use that you people need to know what they are doing and how they are working work they are trained on understanding leads to better assessment a. i will continue to understand awesome the emotions betsel that's affect it will make every day tasks easier, but we will have to stay vigilant with how we developed and protect our data in the wrong hands. our data could easily be used against us. i want to know what you think about all this. leave a comment and let us know. that's it from us this week. so you next time, the kind of always in signatures,

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