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 its 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 thats 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 youre 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. Its where theres 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 its 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 were going to use it. Right now. Its being used primarily to drive profit. Its it in almost entirely been used by business days, by universities, by organizations to drive greater profit. And thats 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 thats 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, were 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 dont get to decide the features that they put in. And we dont get to decide how those tools are use, we can play with them and thats effectively, you know, what, in many ways what were doing when we use Something Like chat, g, p, t. And we dont 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. Thats the kind of thing that we could use a i for but it doesnt get the funding because its 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 shouldnt or dont want to use it, because ultimately is still extremely far from replacing human intelligence and intuition and creativity. But thats 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, theyll 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 thats a, you know, accommodate idea that everyone can learn to code. So to say thats not realistic and its not for everyone just like not everyone is going to be a farmer or drive a truck or work in construction. I think theres 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 theres 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 thats why, you know, we see, since you brought up the writer straight, the writers are saying like we dont 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 dont want that. We dont 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 cant be negotiable. We cant just let a system that has been trained by people. We should say, you know, the, the systems dont train themselves right now. They have to take input from somewhere and were feeding them that information that they get trained on and that they get learned on. And so you cant separate really the, you know, autonomy of an, a i system from the human oversight because theres always at some point human input into it. Whether thats 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, thats the question that isnt 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. Its called artificial general intelligence. Ag, i, its not feasible today. Its not where were at today. And, you know, the best guess is from the experts, are that were still very far away from it. That it is not something that were 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 were 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 were back, are people concerned about losing their jobs with a i advancements. Is this true . Dont 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 hes 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. Shes when hes already on the policy, you know, in syria. Enormous multi seen by easy. Is that what is it going to get . No, no, and im award ceremony. Oh, when was he got a gun the assist anyone at all . No, thats fine. The known in vietnam, american war, the vietnam war last, its almost 2 decades and dragged in numerous countries. Not any terms we have now, and then you dont 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. Thats a ways to the lease of come to the russian states. Never as, as tight as im 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 wont 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 isnt 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 arent nervous about it because theyre the ones who are likely design new ai system. But its a tens of thousands of other engineers who dont 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, lets 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, its 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, its, the internet has enabled this kind of information to spread so much faster. Its unable to, to reach millions of people the 2nd after its 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 its 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, its actually a social problem that people fall for this misinformation that they dont understand how to verify a new source. And ultimately, even that people dont 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 thats actually not something we have to address necessarily with technology, but its 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, theres physical jobs a i isnt going to replace a physical job, somebody you know, going out and, you know, replacing a power line. For example, you know, robotics didnt get very far, but where we are now and for the foreseeable, foreseeable future, were 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. Its 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 theres a lot of hype right now that were going to get so close to a g. I. Meaning that we need the machines are thinking for themselv