answer being urged to evacuate, and we'll end it there, coming up after the break chat bonds with feelings shift looks at the risk and benefits of emotionally intelligent and unlike look good. thanks for watching the can you see what old cars have to do with the production? here's a hands on the really indeed the snow on you to get your updated innovation. green the green revolution

global. so listen to a whole lot of crime. it's probably up to speed if the carriers subscribe to the subscribe to plan, it's a the, i'm just gonna throw this on. what do you think struck a that's quite us, david. he's talking to an a i chip bought the space for me. it's 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? jeff, thoughts becoming increasingly lifelike. 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 am yeah, i'm saying it that's perfectly the layer. it is just how

useful is the newest version of chips repeat to you really cheap t for o is more human than ever. it can communicate emotionally and see it surroundings the oles. that's what i'm the, as an 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 links the smile to happiness,

that leaves tiers to establish 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 decision, even if they contradict own beliefs that's according to research from as early 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 effects if at least to be true. this is called to see nation test. so that a i playing poco a video games have learned to bluff, to produce of favorable outcomes. these systems are known to be on or to 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. then if it was dry objective text or, or reasoning that can be much easier to assess slow, such as nonsense or not. i don't know about you, but in a i chip or deliberately lying seems pretty scary. it could trick us into giving away personal dates or like credit card details. and even if that doesn't happen a chip or it 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, lead, talked about. and that's with checkbooks could come to the rescue. the may not full of books can also tricky questions about sex and health in india. but it has to

understand cultural nuances and different dialect. not what he's in the one of the more thing with degree diverse areas with um you know, hundreds of languages. but within those languages there are so many sub languages, some dialect line normally sign within those languages, but it's 9 but in defense within those families. so how do we then reduce on says an attack board that dismentos doggy women that are maybe non district to a standardized version of our language in advance laughs 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 use us and then native language is like manase and even the english can be mixed with english. what, why people don't think that they would say something like maybe a mom or a dog doses. oh, really you shouldn't look for them to be the theme to themes and hopefully things died. one then using slang. so things that does, it least this is all jacked,

would be the best buy and for the, for that this f c use instead to having those metaphors from 5 lots of the back end states of 8th is needed. so the both can understand a problems 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 balances that the guy bought provide. and if it is at all, then we have a good i close and that we create. then we take all the questions in the correct answers and be seen in fact, into the model. and that is actually the 20 to 25000 questions as we are fact checking. and i think not only do you with our staff, but also with medical professionals and doctors and has professionals have been in the field for 10 years. the nations is an issue that going most across the industry . we're trying to figure out how to do that along with other things like, you know, be by, is gender bias kind of good bias that comes up in the data because it isn't the,

was the reason why this gender bias would be, does, because there's 10 devices back to the basics, how doesn't they? i chip bought, learn to talk to its environment and know what to say. the most important components 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 in a 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 learned by recognizing pets, tons, for example, in language, then waiting and scoring them. this network is learning to recognize the number 9, the more frequently a pets i'm. of course, the more weight to the network places on it's in this way important pets, and i'll reinforce for feedback and repeat the training l. m. sloan to

understand and generate and natural language. the performance depends on the quality or training data and the name of trained with data from the internet. a pre selected dataset as most suitable here. because arrows can be filtered out beforehand and remove the $25000000000.00 us dollars. we're invested in the development of genuine to a models such as chess, u, p t, in 2023 alone, a 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 cold with ben demick 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 $4000000.00 comments over the course of full years, cried luck, you rated the data base for research as the world wide, the goal advance the detection of psychological distress. and trauma is actually a, an incredibly wide variety of insights that are available from our assessments. we can understand, you know, similar 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 fairly 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 burnett things like elevated cognitive load. all that is needed is every day communication, such as emails, select messages or social media posts. but why existing through communications,

the software doesn't just look for obvious descriptions of feelings, but also for the so called function words such as pronouns, 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, me 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. lot of the patterns that exist that we're analyzing are the same across cultures and contexts. it'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 in, into the other people around them. it's very much a social psychological phenomena that we're focused on, and that exists regardless of the cultures or languages you're communicating. pay i

can not only analyze text, but also voice messages. the use cases, plentiful, analyzing how people interact with checkbox. splunk companies insights into the use this mindset really interesting recent use of our for technology was to help with the vaccine uptake and under privilege 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 calendar and 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, methods that comes from advertising and marketing, and it's becoming more than more common so called travel bots. i know also is using

a motion a i to also use us customized travel tips. just one example is the voice a i m a v d f is currently being tested and based on your wishes and personalities, it 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 then creates a kind of psychological profile, a few, using that as a foundation who then receive personalized traveled, recommendations. but what does that mean for our privacy when a companies use our data? metal for example, officially says that it uses a publicly accessible facebook and instagram photos and takes to train. it's 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 off and all emotions betsel that's effect. 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 next time the how many of you speak more than 2 languages? at least 2 or more languages as we used to be taught to speak english. why we,

we can't from becky crowns of speaking. we have to embrace and inquire, healy, but do you, do you lose you? i just simply by learning a level language, when i speak english, i said they can do this. pressing this 77 percent on d w. it's time for vision raised for sustainability. but also for horsepower. the, it's time for the mobile revolution. in 60 minutes on d. w. get ready for an exciting and tell you to look surprised. hi, irish. and i'm ready to dive into the hands of human to you. have you have

a one to talk to me before port of people on the spot on the on expected side to side? no, i said we used to be forced to speak english. why we, we can from becky ground on speaking. so here we have been raised on imply, healy, yeah, no, i've been told go stories and so he's no longer reading. it is what have you been all over right to you? you you lose identity. we are just allowing her languages to die and we are in bracing language. is that not ours? go to the right language. it does not only embrace communication, but also shapes of identities. how is seeing how we perceive the world? it fosters the core of our existence. this is a highly personal mark.