His political enemies are working hard to ensure that hell be removed as precedent and sent to trial long before the end of his official 5 year term mattie. And the sanchez helped us. He that lee might be to ah, this is our designer. These are the top stories, hundreds of protesters as stone to rocks parliament have now left the supporters of shia cleric, montague, all solder were demonstrating against the nomination of a new Prime Minister belongs to a pro iran blog. Bama on the warhead as following developments in baghdad. The protest is, who was told that there had quoted of the council of representatives have was drawn, that is following a command from the leader of them through until she eye clinic and politically that looked at her a saw that who asked his supporters to withdrawal. He also addressing his supporters of southern, mentioned that at their message has been conveyed the message that in his was that his supporters have terrified the corrupt. At politicians in power of u. S. Federal reserve is increasing its key Interest Rate by 3 quarters of a point to 2. 5 percent. Thats his highest level since 2018. The increase is part of an aggressive drives controlled soaring inflation. Russian gas applies to europe have dropped by 80 percent compared to just a few days ago. Russian gas company gas from as reduced flow through the north stream, one pipeline. Blaming a problem with a turbine. The u says moscows using Energy Supplies to retaliate against western sanctions. Russias foreign minister, saggy love, rob has been in ethiopia for the 2nd leg of his tour in the african continent. Is trying to reassure nations hit hard by the global shortage of grain. Millions of people across africa dont have enough food because of soaring prices. Is really forces of use tear gas against Palestinian Protesters rolling against the establishment of an illegal settlement near the village of key for harness in the occupied west bank, demonstrators raised the palestinian flag and chanted slogans in the streets near the settlement of balkan. And those of the headlines, these continues here on al jazeera, after the st. Good by talk to alger 0, we ask you, be more specific, how many jobs are you asking for . And what kind of military equipment we listen asked the people of cuba in the street. If there is a difference between donald trump enjoy bite for them. Its saying we meet with global news makers. Im talk about the story stuck matter on al jazeera with i answer the ok on this episode of the street, we are looking at the Rapid Development of Artificial Intelligence, the dock side of a i. And also the amazing advances that may well be possible. Do you remember sophia, the a i android is yes. You forgot who i am already. Im for fear of hansen robotics. One of the 1st androids in the world. Social robots, i can, you can help take care of the sick or elderly in many kinds of health care and medical uses. I can help communicate, give therapy, and provide social stimulation. And a i, robot care assistance, what could possibly go wrong or maybe go right. Lets meet your panel, theyre about to tell us, hello abby shack, hello joel newkirk. Hello, hello, cut lovely to have a fee of you on board. I will shake. Please introduce yourself to audience. Tell them who you are and what you day. I agree to be on here. Im obviously booked on the founder and principle researcher at the montreal li i. Thanks institute. Its an International NonProfit Research institute with a mission to democratize the i think literacy our previous to my current role. I used to work as a Machine Learning engineer at microsoft and i now lead other responsibly our program at the boston consulting group, b. C, g. Yet to have you. Hello, john lucas. Welcome to the string. Introduce yourself to aviles. Hi everybody. Thanks for having me. My name is joel luca, im an ai author, entrepreneur and speaker. I run a Company Called academy, which focuses on Educational Consulting on a physician intelligence. And i run a weekly bond newsletter cold textbook pizza tried to make all this crazy stuff that happens. In fact, more easy to understand them. You can stay hello, hello, welcome to the screen. They say hello to audience around the well, tell them who you are, what day . Yeah. Hi, im health shellman. Im an investigative journalist and im a journalism professor at new york university. And ive been investigating a i am hiring and Artificial Intelligence and general sense. 4 years ago when i was in the cap rides, our lift lied better in d. C. Going to the train station and i talked to the driver and asked, how was your day . He said, i had a really weird day. I had a Job Interview with the robot and i was like what . So i started investigating, i fast since, you know, done reports for the wall street journal, the new york times, Mit Technology review. And im writing a book right now and Artificial Intelligence and the future work. All right, i like and its one of experts that we have if you want you to right now, jumping to the comment section, be part of todays show. Should i be regulated . Is now the time. Dont luca, i want to ask you to help me out because i think of ai, Artificial Intelligence as machines mimicking processes that human beings would normally do. And weve given that Decision Making to machines and then we will. How does it work out . Does it not work . Out, but theyre making decisions which probably in the 940. 00 to 19. 00 fifties or even more recently they were doing for us. Shown luca, how did i do . So . Youre correct, but we have to say that Artificial Intelligence is a lot of different things. Its a lot of different tools, its, you can see it as a hammer, a hammer is a general tool that you can use to do a lot of different things. You can build a statue or you can build a house, you can do a lot of stuff. And so a, i could be either or the kind of problems that we saw before with severe. But it also be much more behind the scenes application. An example that i really love is a project that google made to try to optimize the Energy Consumption of their data centers. So in that case, a i worked behind the scenes trying to always find the best possible combination of different temperatures and set points carrying their Energy Consumption by 40 percent. Thats just one example of all the possible things that the i can do behind the scenes to improve our lives and improve our processes. And i say give us an example of a i that you love that car existing, our daily life. So it works well when, when it does a good job, which is, you know, recommendations for exciting, new tv shows on netflix. But also i have to admit that sometimes it doesnt work well when you spend hours trying to find the right tv show to watch. So i think exactly as, as what was said before, e, i is, is something that, you know, can be embodied robotics. But more often than not, its really hidden in various parts of our lives, with things like and products and we get on Amazon Movies that are recommended to us on netflix music to listen to on spotify, etc. And so its also Something Else that you mentioned earlier, which was that e i is constantly shifting goal post to what we used to perceive and accept as a very commonly think about, you know, the next word prediction on your smartphone now is just stable stakes. Its accepted as a, as an Everyday Software feature and we dont even think about it as a. Yeah. And we just think about it as a regular software. Its. Yeah, its an hour emails. Its used for hiring. If you upload your resume to indeed a monster that com, linkedin, all of those Large Companies use, you say i understand who you are and what kind of jobs you should be. Job offers who should be getting, or if you should be recommended to a recruiter. So we see a being used in all kinds of things and Health Care Settings and weve seen, you know, things where really isnt working out well. And weve also seen some spectacular failures. So i think from, you know, the 1st innovation was sort of like, we are so excited about a i, its going to revolutionize everything. I think theres a little bit more realism to that. You know, how well can this Technology Help us out . Has a horrifying story of job applications going through to allison and how the a i sifted the job applications. Will you briefly tell us that story because its pretty shocking. And now we found out that the a i wasnt working as intended or was it . Yes. So we see this a lot, right, since the ninetys we have these wonderful job platforms, monster linkedin, and so everyone can applied to any job. And thats really wonderful. On the other side and companies tell me, we get millions of applications. You know, ibm says they get around 3000000. 00 applications a year. Theyre drowning and resumes, right . What are they going to do . They going to use technology . So amazon same problem, right . They get too many resumes. They want it to build the tool. And, you know, and a i tool that can pick the best applicant. So a wonderful idea. We all want it of course. So what they did is they used resumes from folks that have been interviewed at amazon before. And, you know, let the machine bond instead of the job applicants were, were checked out, their resumes were put on pile a o, b, yes or no. So over time, the engineers found out that the, that the resume, that the resume parcel was starting to downgrade folks to have to work woman or women and on their resume because it turns out over time, right. In the past, you know, male male applicants were preferred at amazon theres, theyre obviously have more men in their departments so that i tell started to reflect their problem. So thats one of the things that happened. I found other problems and resume parser, so thats the technology that looks our resumes in fest. Should this candidate be reject it or go on to the next higher written ones . I saw disappointing, erica, because of, of job applications. We know they go into a system, we have no idea what happens the other side. All right, so ive got some questions for you and shell new and also abstract at some out online audience, youre asking right now, would you ask answer them very briefly. If he could say, say at, says can a i replace humans in the near future attack, thoughts very quick once. Not really. Um, humans bring a lot of unique skills to the mix and machines could certainly replace parts of our jobs. Tasks within jobs were not entire jobs. And so were safe. If thats the worry mohammed ask a question, john, look, im going to put this one to you on each of the more technology advances, the more we lose our privacy. True force in between. Well, i would say that its not the fault of the ecology. This is about the way that Companies Get the data from us that they need to power these technologies. And so i was trying to was to move the focus from the technology felt to the companies that are using it, you know, where that is not ethical. And thats why we, i believe we do need regulation. We do need governments to try to pertain checks and balances in place so that we know that the companies that are using this technology, theyre doing the way that it will help. But i think youve, you has a point that i do feel that like our privacy is under threat because to build these large scale a i tools you need enormous amounts of data and you needed from people. So we need to companies scrape whole data sets that built these gigantic image, data sets, audio data sets, and who knows how our image is, how a voice get in there and what its used for, right . Also like the, you know, the face data quote unquote that relief on social media. All of that is also being used and built into these databases. Right. And i think a lot of times, maybe technologists, need to take a closer look like, whats in the database, but the basis that im using, whats not in there. Could they be vases im or sexism, you know, kind of like the amazon example historic examples that might be replicated in these systems as im building this new way. I tool john luca, young noting articulate, youre not yeah, i want to build on this. I think the problem that we need to phase and tried to solve is this mindset that was really l pioneered by competent silicon valley. Facebook was used to say, move fast and break things. So their approach is do whatever it takes to try to build as technology in the past as way possible. And let me take a shortcut. Shortcuts are stealing data sticking. They dont need to basically just taking data from people. We dont know to find them. A means using Technology Without having properly verified that the collage actually does what we think it does. And so in down you have all these issues. We have problems of people. They realize that theyre being spied on. We have algorithms that are not performing properly, like yoga said, but i will go back to the root to read the root cause. Why do we have these problems . I believe its because the Company Started to ox too fast and they tried to push innovation on that or throat before having done old Everything Possible to make sure that these will serve society. Oh, and, and i think the problem is that when, when we use these kinds of technologies in high stakes Decision Making, right, like is somebody gonna go to prison for 10 years or 5 years . Those are like really high stakes decisions. We have to make sure that this, that these tools work the same with, like, you know, i, b, m, build watson that was supposed to revolutionize cancer care. That product is basically a failure has been, you know, sold off for, for scribes i b, m at another tool that was supposedly gonna find our personality profiles. I, you know, in my a dominant personality and my extroverted through our social media data, our social media data, that tool was put into sunset. So basically faced out of their product gallery. So how can i say another, can i sure, let me show another tool with a hill. Can you going for your, your, you on numbers of, i experiments that didnt actually pan out. Hes another one. This one is a mo bought, which is a robot that analyzes and motions for patients in Health Care Settings. So that sounds quite promising. If the ai works, lets have a listen to the seo and co founder and the abstract. Im going to put this one to you because i know that youve done a lot of Machine Learning in your past. Is there something in here that we should be scared about or celebrating . Hes emma bought . What else is this one to day care assistance, generally overworked and can no longer to that job, which is to provide care at email bought. We provide them with information on the emotional state of their patients so that they can better understand their changing emotions. Afterwards, well be able to study that information today. When we do a test with depression, its a stand the test. We ask the person to verbalize how they feel, and that compose a lot of problems, especially for people who cannot verbalize their emotions. But nobody i would say shouldnt be just be celebrating a simply be concerned a tor, that a i is looking after peoples emotions monitoring them. I mean, i think theres a, theres a tremendous problem here already in the sense that we are missing the context of the human touch, which is essentially what emotions are all about. Is being able to, you know, have a human to Human Interaction which a machine cannot bucket emotions, especially as they can be expressed quite differently. They have cultural connotations and under dorms, which are not necessarily captured in a standardized or they cannot be qualified in the context of a machine. And for me, addresses perhaps a bigger question, which is, are we comfortable with outsourcing . This emotional Human Connection to a machine. I understand that they are coming from a place of positivity and being able to scale and provide care to a lot more people. But the cost to that is immense. In, in the sense that were, you know, moving away from warm human touch to a called a machine. But the also, the question is like, does is actually work right . Like like, like the machine can actually check. Okay. And like, he is smiling by it like my lips are up. So like i looked like im smiling. Am i really happy . I you know, like thats another question. Might i smile than Job Interviews . I wasnt happy. I was there like a machine would say, oh yeah and, but im actually not. So the science actually isnt there, right . Like and obviously thats also culturally at different like a smile may need Something Else and, you know, facial expression mean Something Else in different cultures. The computer lab say credit is, can never be as good as human beings is that what were saying in emotional is that one that says, well, its not, not just human about whether, whether machines can be as good as humans or not. I think there is, theres a broader argument to remain here around the morality of, of doing that in the 1st place. And, and i think the, the other thing is whether we, we, as a society are comfortable imposing such a global standard where its basically developed in one part of the world and exported and imposed really on the rest of the world. It, it also turns us as humans into performative machines workers as, as photo would say, if you know that, and e i system is screening your video interview. You know that now you have to forcibly smile all the time because theyre going to can evaluate whether youre positive or not. Let me bring up Something Else. This is a count