$1000000000.00 annually. and even outside of businesses and work processes a i can help automate routine test and processes at home, freeing up our time to focus on more important things. for example, a i can be used as virtual assistance to automate tests such as scheduling, meeting, sending out inmates, replying to e mails, and even creating weekly family tour charts. and as a, i get some better understanding human behavior. it can also help us come up with new ideas and find better ways of doing things. for instance, it can take your habits and your likes and preferences to generate ideas for the perfect vacation itinerary or plan a getaway. all of these productivity days will eventually lead to higher profits for businesses and lower prices for consumers. however, this will also be a double edged knife. as goldman sachs predicts that 300000000 jobs could be lost or diminished by this technology. one particular industry that

a has shown right palm is in is the health care industry, particularly medical imaging analysis. a algorithms have demonstrated high accuracy in detecting and diagnosing diseases like breast cancer for medical images almost as well, if not better, then a double reading by 2 highly trained radiologists, another a, i has actually been trying to work out which sperm are the healthiest and strongest aid and fertility treatments, the average male has barely one in 10 sperm that are healthy. this a i has been taught to identify strong swimmers by their shape and the way that they swim. this technology could mark a significant step forward and the idea of industry by boosting, fertilize ation rates and the costs of going through the cycles again. and again. a, a i driven analytics have also lead to better data driven decision making and

businesses. mckenzie report states that a i adoption and data analytics has led to a 50 percent reduction in error rates allow the organizations to make more accurate and impactful decisions. for example, netflix leverage is a i to analyze user data and recommend personalized content contributing to a reported 75 percent of your activity based on a i recommendation. automation has a storage. we created innovation, which leads to new types of jobs being created. many companies will take their cost savings from a i and use that to grow its business, ultimately increasing productivity. the growth in a i will likely near the trajectory of past computer and tech product and many jobs in the office. administrative support, legal architecture, engineering, business operations, sales, and health care will be impacted by automation. unfortunately,

automation technology has been the primary driver of income inequality over the past 40 years as well. and for more on a i, we are joined by tech expert and editor of tech for the people dot org, chris garafola. so chris, can you share with us some specific examples of a i driven analytics that had led to better decision making, resulting in improve business outcomes? certainly, i think we can see that recommendation engines are everywhere. you know, when, whether it's netflix or amazon, you see that, you know, machine learning and artificial intelligence techniques are being used by all sorts of companies to recommend the products tv shows, movies even who they want you to be friends with on social media. and that's one of the major ways that most of us will see the use of a i today directly. but we also see it in other industries in farming. for example,

farmers are using artificial intelligence to figure out how to optimize their crop yields and how to manage their soil and move crops around from season to season or year to year in order to get the most out of the land that they have. and the resources that they have, we see you're also in driving and delivery services using machine learning algorithms in a uh, in order to do things like optimize the road that their drivers will take so that we get our packages quicker and they spend less money on gas, for example, what are you going to do so many industries are using a i right now in a i is a really broad category of technology. now, what industries can i make a significant impact it? this is a great question because a i is, is a tool like many tools and you can use tools and all sorts of ways. so people have found very creative ways to use a i, for example, the farmer is that again, that are using it to optimize crops. and also, you know, students are using

a i to optimize, you know, how they learned and how they study with flash cards of businesses or using it to optimize time calendars and their staffing levels. and i think, you know, that can also be a certain challenge as well. when you look at how tool h a i is use really when we think about a lot of the, the industries that a, i can impact. it's where there's a lot of data. you know, a huge amount of data that needs to be processed and no person or, you know, traditional computing techniques could actually match the power that the new ai systems have given us to analyze data, to find patterns and defined ideal outcomes. how do you envision a involving in the future and what potential breakthrough is, do you see that could further revolutionize the workplace? certainly, you know, we need to be able to bring a guy to all people, you know, right? rather than leave it in the hands of a few, just because we all use a i,

in our day to day lives now, whether it's machine learning or content generation. you know, when we can actually benefit the entire world. we actually also question, need to question when and how we're going to use it. right now. it's being used primarily to drive profit. it's it in almost entirely been used by business days, by universities, by organizations to drive greater profit. and that's where we need to make a change. we actually have to start looking and seeing, you know, is it possible to use a all right, to help make a better community health care decisions. for example, to identify breakouts of pandemic earlier by analyzing the data from, for example, wastewater. and that's something that has been happening. um, so there are, there are a lot of ways that we can use these technologies to really build a better future for ourselves. but it comes down to who controls the, is it the wealthy and the bosses, or is it actually the, the, you know,

billions of us the global community, who decides that we want to use these technologies, you know, before to, to better all of us. i thought everyone with a basic standard of living, we're already able to access the technology. oh, sure you can access so you can go and sign up for or chat g p t, for example, or one of the many services that will create an image for you given you know, just a description of what it is you you want. and that is something that anyone can do, but those services are still owned by a small group of people. those are owned by, by the wealthy. and we don't get to decide the features that they put in. and we don't get to decide how those tools are use, we can play with them and that's effectively, you know, what, in many ways what we're doing when we use something like chat, g, p, t. and we don't actually say, you know, get to say that we want to use artificial intelligence systems to figure out better ways to improve the traffic or public transit in our communities,

to figure out where pollution is coming from and address it that way. that's the kind of thing that we could use a i for but it doesn't get the funding because it's not profitable. how would you address concerns related to job displacement due to a i adoption and ensure a smooth transition for employees whose roles may be effected. this is such a huge concern, and i think all workers need to be concerned about how their employers are bringing a eye into their fields and their companies. because again, we have very little control. the average person has very little control over how our bosses or companies are using these technologies. we should be able to say, as workers who know our jobs best, here are the ways that we can use a i. and here are the ways that we shouldn't or don't want to use it, because ultimately is still extremely far from replacing human intelligence and intuition and creativity. but that's not how those who are seeking only to maximize

profit, see it. they just want to make the most money, and if that means they can use a i to replace people and get 80 or 90 percent of the same job done by a machine, they'll do that. so we need to actually guarantee that people have a right to a job and not everyone is going to work in technology. i think that's a, you know, accommodate idea that everyone can learn to code. so to say that's not realistic and it's not for everyone just like not everyone is going to be a farmer or drive a truck or work in construction. i think there's a lot of different jobs out there that we can, that you know, people do. we need to make sure and across the world that a, i is not used to remove people from jobs, but to actually make jobs safer for people and easier to do, even for the companies to replace workers with a technology and increase their profits. i mean, a recent example is the hollywood stripe, where the company owners,

instead of comply with the strikers demands, are heavily investing on a i instead. yeah, as, as one example we saw recently that during the writers strike on netflix, put out a job posting for an a i engineer, it would make $900000.00 us dollars per year. nearly a $1000000.00 a year between salary and bonuses and stocks for somebody who would work on a i, for all of the various uses that the netflix uses a ais for, rather than paying the writers and actors, you know, fair wages. so of course, the, you know, any time there's a new technology, the bosses, you know, those who are seeking only to make profit are going to go and, you know, try to use that technology to enhance their profit. but that's why, you know, we see, since you brought up the writer straight, the writers are saying like we don't want a, i to replace our work. actors are saying the same thing. there are,

there are companies now that will scan your officially patterns and how you react to things and your emotions and your movements and mouth movements and even your whole body. and then they can actually take you and using a all i call you your likeness, into an image or into a film. and actors are also saying, we don't want that. we don't want our likeness to be able to just be copied like that. and we get no money from it. and so i think we need to listen to the workers who are really being affected by a guy. what are the writers or actors, teachers, delivery drivers or anyone else? and really, as we try to understand how we should guide the world in the use of it, as a continues to advance. how do you plan to maintain a balance between a autonomy and human oversight to ensure an ethical and responsible usage? there always has to be oversight and guidance from humans into the use of

a all that can't be negotiable. we can't just let a system that has been trained by people. we should say, you know, the, the systems don't train themselves right now. they have to take input from somewhere and we're feeding them that information that they get trained on and that they get learned on. and so you can't separate really the, you know, autonomy of an, a i system from the human oversight because there's always at some point human input into it. whether that's the training or the, you know, internal feedback loops that, that are involved with it. but there always has to be human oversight, not just for the development of a i, on the, in the deployment of it. also just, you know, whether or not we use it. and then again, that's the question that isn't asked often up is, should we be using a i i think we are a long way on a technical level for having an a i that actually is autonomous. it is not something that is feasible today. it's called artificial general intelligence. ag,

i, it's not feasible today. it's not where we're at today. and, you know, the best guess is from the experts, are that we're still very far away from it. that it is not something that we're going to be able to achieve, you know, in the near term as we think about, you know, we get there. we really do need to be considering, how is it that we're going to maintain human oversight and who are the humans who are over seeing this a i do we, we cannot just let it go on its own. thank you so much, chris, but please stick around. the tech expert, krista ross will stay with us right after the break and when we're back, are people concerned about losing their jobs with a i advancements. is this true? don't go away. the

problem was that the new name was what i mean to him was he got it in order for the lower authority. when, when he's the check, i can see what we, i drove you about the one on the page and review the resume sheets on the phone bills or me to bill. she's when he's already on the policy, you know, in syria. enormous multi seen by easy. is that what is it going to get? no, no, and i'm award ceremony. oh, when was he got a gun the assist anyone at all? no, that's fine. the

known in vietnam, american war, the vietnam war last, it's almost 2 decades and dragged in numerous countries. not any terms we have now, and then you don't see it. now. what did go on empty? hundreds of thousands of american troops was sent to the country to bank the south vietnamese on me. i got the american soldiers.

miller did resist as mercilessly bowed down entire villages and spread dangerous chemicals. and even lee by all right, did the americans ever fully acknowledge what they did on the vietnamese veterans ready to forgive? yeah, yeah, yeah. that's a ways to the lease of come to the russian states. never as, as tight as i'm one of the most sense community best. most all sense enough in the 65 to 5 must be the one else calls question about this, even though we will then in the european union,

the kremlin mission, the state on the russians cruising and split the ortiz full neck, keeping our video agency roughly all the band on youtube tv services for what question did you say to stephen twist, which is the, the, the, as a continues to advance. there are concerns about job displacements and unemployment . according to the world economic forum by 2025 automation in a, i could this place around 85000000 jobs. while it makes these operational jobs obsolete. it would also create $97000000.00 new rules across various industries.

however, navigating this transition requires comprehensive workforce development programs. for example, microsoft has invested 20000000000 dollars and then a i for accessibility program to help people with disabilities, acquire new skills and secure employment opportunities in a i driven industries. and in california, the 1st of many labour protests against a i is already happening with hollywood writers. wanted to make sure they won't be replaced by a i tools like charge you p t. this will most likely be replicated by unions across the country. as a technology becomes more prevalent, retail isn't safe either as when these is currently test a drive through chat box. bloomberg estimated that at least a quarter of american workforce will have their jobs impacted by a i in the next 5 years. and if chops you be to work to display software engineers, no single country would be more impacted than india. home to over 5000000 coders,

students from the top technology institutes aren't nervous about it because they're the ones who are likely design new ai system. but it's a tens of thousands of other engineers who don't have the degrees from the lead universities who are worried because of slumped and routine coding jobs is around the corner. it is likely that entry level coding jobs could be all literally rated in the next 5 years. the dangers of unchecked a i autonomy is another thing to be aware of in the medical field using algorithms for diagnosing diseases may lead to false positives. are mist diagnosis is not properly supervised. to address this health care professionals need to work in hand them with a i system a leverage the a i capabilities while exercising human judgment. another major area of concern is a i generate a content which tells me to miss information and fake news. this was

a parent in a recent headline when a lawyer use track g p t to pair of filing for a routine personal injury suit. but the bought delivered fig cases that the attorney then presented to the court. recognizing this organizations like open a i r, emphasizing responsible, a i usage. and so for this and more, let's bring in again tech expert, an editor of tech for the people dot org. chris graph up now chris and given that a i can produce content such as articles and social media posts. how do you address concerns about the spread of misinformation and fake news generated by a i models? no, it's not a new problem. there has been misinformation. this information is, you know, fake news. so say for a very long time, well before even you know, the internet or technology, it's, the internet has enabled this kind of information to spread so much faster. it's unable to, to reach millions of people the 2nd after it's posted and what a i,

and particularly content generation. a eyes i have enabled is creating the content a bit faster and having a full news article, rather than just, you know, an e mail for word or a social media post. and so there are websites that are set up with use or full of a i generated face content. and that is a problem, right? there is a very real problem and it's actually a social problem that we have to solve, not necessarily a technical problem. we need the oversight in the use and, and, and development of the art, but it actually develop, it's actually a social problem that people fall for this misinformation that they don't understand how to verify a new source. and ultimately, even that people don't have basic trust in establishments in governments, in a society that they will fall for, or you know, purposely believe a lot of the content that they see. so that's actually not something we have to

address necessarily with technology, but it's really a social problem that we have to address and what are some limitations of a i and what are some jobs that you think i can never replace as well, of course, there's physical jobs a i isn't going to replace a physical job, somebody you know, going out and, you know, replacing a power line. for example, you know, robotics didn't get very far, but where we are now and for the foreseeable, foreseeable future, we're not going to be to replace a place where most of these physical, in the real world jobs can be replaced by a i, a loan. but a lot of the limitations around it come from the ideas that people have about a guy, right? ai is not one kind of entity or a technology. it's many different types of systems and technologies. and we need to look at it that way. and i mentioned earlier, a g, i artificial general intelligence, and there's

a lot of hype right now that we're going to get so close to a g. i. meaning that we need the machines are thinking for themselves. and actually, you know, surpassing human capabilities. we really are nowhere near that right now. we look at something like chat, g p, t, for example. it's very easy to, you know, configurator prompted to spit out nonsense. uh, no, it answers to a question. to have it give you actually, you know, miss information that it's found that the human can actually easily spot. and so there's no real limitations. but the biggest limitation is that, you know, we have no say really over how these technologies are being used with the potential for a i to mimic human language and voices. how can we prevent ai system from be exploited for malicious purposes, such as social engineering or fraud? yeah, so there does need to be regulation on these kinds of things to make it, to make it illegal, to use, you know,

deep fakes to make fake phone calls for example, which is a, something that's happening now. the people are scanning the voices of people and calling their relatives and using ai to have a whole conversation to scan them out of money. for example, that needs to be illegal to create or use that kind of product. but again, it also goes back to this idea that it's not just a technology problem, but there is a social problem that leads to crime in general, any kind of crime, any kind of, you know, scamming and these social problems also have to be addressed. where, you know, why is it that people are driven into scam other people or to commit crimes, whether it's using a gun on the street or using an artificial intelligence from a computer halfway around the world. you know, we need to be able to address things like poverty and, you know, decide of dissatisfaction with society and the general alienation that so many people feel the lack of hope they feel to, to prevent

a lot of these things. but like i said, we do have to actually address and make it legal. the use of these technologies as well, certainly raise the barrier or the entry for a i such as the maybe the price of a i. so people are not tempted to commit fraud, but this would limit access of the technology to select this, you know, absolutely, i think what i mean instead, you know, not just, we're not raising the price of for the, you know, limiting access to a are in that way, but you know, you actually limit the poverty, which is the number one reason people commit crimes, especially property crimes, is because they have a need, they need to have money, they need money for their rent or food or medical care. and that's the number one reason to people commit these kinds of crimes, especially international that you, when that when the crimes cross international borders. and so we have to address the issues of poverty that lead to people doing these things. it's similar to the email scans that yeah, i'm sure we all get, you know, saying that you want

a lottery or something like that. you know, nowadays they end up our spam folder. but and those have nothing to do with a i, but they still show that there is a entire industry built around that and people buy into it because they feel they feel and need to make that money. however they can. thank you so much, chris, for all your time today. a i as a general term these days. and these previous examples are in reality, not real a i, but a combination of big data and machine learning. true a, i has not yet been achieved. and instead, these systems are designed to excel at specific tasks, but lack broader cognitive abilities. the future of true a, i would be a system that possesses general cognitive ability, similar to human intelligence, enabling it to be use and learn and understand various tasks rather than to just regard to take what a hears and sees online. while this tool would be a great tool,

it could also be used for harm spreading this information and manipulation. with the rise of tried c p t, suddenly some of the most respected scientists in the field are speeding up their own timelines for when they think computers learned to out think humans and become manipulative. a still many do not believe in a i take over something that people need to be concerned about right now. the ripple effects of the technology are still very unclear and entire industries are bracing for disruption, including what used to be considered a stable white color job like a lawyer or physician. i'm christy. i. thanks for watching. and we'll see you right back here next time on the cost of everything the value of 3 people. so for instance,

coming up with is the sum i'd love to have to choose between you. if you want to get to the door, this goes to the dep near the word method up way. anything that apple beat was awfully cool my lot. so shift you things to get suitable for something that you, all of this opportunity might not mature less of a piece of off

the line. so see what's printing what was, are up at one of the a this is just a loosely of course we need your last name was name is read, it was can when we used to live, imagine we have some more closely fix it or someone was this we, which i knew people to the, the, the

rushes war, criminal propaganda will all be hunted down. and justice will be served. an american transgender spokes, person for the ukrainian military, overly fractions russian generalists fucking criticism from moscow. mit of like a reaction from the west. also had the utility, an island of long pen dues, a declared the state of emergency after nearly 8000 migrants long in the last 3 days alone. small than the entirely islands population on the debt. so from the devastating floods in libya, suppresses 11000 for the officials, saying that the number could potentially double. one of the locals describes the princess.