Transcripts For DW Is 20240706

Free might do to men of sufficient intelligence or a i just considered a Key Technology for the future. You up to new york often mostly for work, but sometimes just for fun. It makes the what is doctors psychologist to Police Officers easy a im just expected to make drivers or even killing play is thing is the pause in every aspect of everyday life. A, i could help us make the best decision. Should i move the route or the bishop from left to right . Shoot. Oh, hold my file, you dates on. Well, james, the relentless logic of algorithms is supposed to guarantee us in life, free from errors. But lately, even program is happens, sounding the alarm, theres a self congratulatory feeling in here is a, i hasnt lived up to its promise. Is it really as intelligent as its made out to be the this guy is really good. What are they going to replace us and what are the limits . They are a turing machine like this and on the computer, the device for the english mathematician island tearing was the 1st machine capable of solving a puzzle more efficiently than the human brain with its health. To persist succeeded in deciphering encrypted drum and radio messages at the heights as world war 2. Also, countless industry specialist had wrecked that brains in vain as much the doing of the new era. With the development of devices that also made worked previously requiring human brain power in the box and they looked at these issues at the beginning of automation. The goal was to reduce physical assets. If that is the amount of effort required. So for centuries, a mill was considered an automated process, you may receive more on up to the time this approach would be applied to non material mental. Well, well tell. I dont think he could be real. Nowadays, we are dealing with a new form of old donation with the issue which we normally call onto official intelligence on tv shows. So if you see it in the 1950s, this developments extend a research rapidly with a promise of how all sufficient intelligence a i would optimize online. It was supposed to drive called improve education, provide us with healthy to make the best medical diagnoses. Im fine, just the right words to cheer stop. He says, and im depressed much the time. Im sorry to hear that you are depressed. The initial, the progress was slow. So that all changed in the early, 2, thousands with new powerful Mainframe Computers, able to handle huge amounts of data. The i was at google and i was at google for a long time at that point. And then suddenly everyone in tech, everyone in google, everyone everywhere is like, lets use a guy to solve everything is going to solve cancer as going to solve transportation as gonna solve education. I had somebody pitch me like a i to detect in genocide. Right. And im like, what the, what like based on what are you training it with . What are the political stage no answers to this, right . You level t on. Well, no. Do you mean easy people wanted to digitize all of reality . If you dont go enough knowing everything in real time, thats only a difference. Yeah. Could further than you saw that was something god like about this idea is without taking into account that much of reality just cant be reduced to zeros and ones that you have. There is a beautiful rainbow outside. I am programming you mean you tend to put you up the welding to electrons, cost fluids all the time and machines and now so to be capable of learning by themselves. Thanks to a completely different method of Information Processing and multi layer training. So called deep learning, there was a, a major advance and deep learning systems based on their ability to read natural images. So on the image that challenge alex net one, the image that challenges would improve the, the efficacy of the learning. And that there was like a catalytic kind of a gold rush. The image net contest is an annual Image Recognition test for computer programs. For years, even the best of them got it wrong in every stud guess. But in 2012 Technology Based on Machine Learning was suddenly able to bring the error rate down to 15 percent. The, for the soul of this breakthrough, everything had to be explained to a programme meant to recognize the face. For example, it would look for shape that resembled an eye, a mouth, or a nose, for instance. And as the order was right, the algorithm concluded that it must be looking at a face. The so, so developed an automatic Image Recognition System Program is how to describe thousands of images from all angles and machine language. And that turned out to be easier said than done that push sample deep duty. I could see seen that push in the traditional approach of classical a i the machine was fed with knowledge has performed, but it turns out that deep learning was much better. Because instead of telling it how to process the information, the work is left to the computer. So this is the commode with typing informational. Deep learning has its roots inside with netflix. And the area of research with computer scientists also look to neuroscience for inspiration. The using this Message Program is no longer described to the machine what a face looks like. Instead they all skipped to find out on it. So the system resembles an Extensive Network of connections that limits in your arms in our brain. This also special Neural Networks allows for a variety of adjustments to strengthen or we can, the signals between the link culminating and an output signal that provides the answer to the questions such as, is there a space in the picture these, i dont want that as the the system that says, perform one of the advantages of deep learning systems is that they can work directly with the rule material from senses. See if its a camera, the gray scale or in the density of all the colors is measured for each i click. So its showing that if there are 1001000 pixels, for example, the computer process is a 1000000 numbers. The normal to home, the net to each pixel 1st sends a signal to the network that varies in intensity depending on the brightness in so called supervisor planning the machine tests billions of possible settings until it finally gets the on so that the program is looking for and an output signal like face detected light. What was this combination is found, the settings are not in the learning process, just finished. It measure sleep time, its the parameters of the model are adjusted so that, and eventually gives the known and expected answer ask you something, ill show you something you what you need this good. I imitate the examples given to them by human multi cummings. All, its very fascinating. The mathematicians have been obsessed with trying to figure out why it works and nobody is really sure to be honest. Why exactly every said why exactly deep learning succeeded. What makes these Neural Networks so special is that they can recognize the generic shape of face within the larger image. The machine is trained by showing it thousands and thousands of images with faces and then until the past accessing the sound. And from then on the system identifies all pixel configurations that corresponding to a face while filtering out all of the objects. Such systems can now be found in cameras that automatically focused on faces in Video Surveillance rooms readers for postal codes or license plates. And naps, where identifying flowers or doki and, and the body scanners at airports, researches at the university of michigan wanted to find out how capable of these systems are when the objects appearance is slightly altered. While the system detects a volt shaheen, a small rotation and it sees and around the time. This pete, the scientists interest in knowing with a self driving calls might be thrown off by road signs, but have been tempted with the place stickers on the stop sign. And sure enough, this confused the vehicles Neural Networks, causing them to mistaken for a speed limit sign. Instead. These kinds of areas may explain why machine Image Processing systems still do not work in critical applications and clinics where automatic read is the being tested. Decisions are not made by the a i, there is a left to radiologist and doctors who continuously monitor im treating the systems, a system of the system for funding. But these are very fragile systems that are only useful when applied to images that are very close to the Training Data. Tony doing hilton. So if you have patients of one population or you use data from one equipment to train the systems, they dont necessarily work when you bring them to a different setting. And humans are, are different. Humans have a very nice systems level way of thinking about things. They can think about things that are not in the database. They can think about how the, you know, how the model is working and whether or not they want to trust it in a way that these a systems by themselves cant, cant do that. But for those, we tend to anthropomorphized these systems and think that a deep learning system can provide a description of what is happening in an image joint description with extra excuse. But we think the model understands what is in the middle, a security measure, male heavy t, but the way the model associates an image with the text is something completely different than when we humans look at an image and describe it with words, flash and a new key about advertises is what im all like. Oh man you put to ship them whose dont really fussy moon like when he sold you moon persistent bye. Well, this is the systems general knowledge of the world is incomplete by definition because they lack the bodily experience. The vision will experience the more the connection between the words and what they refer to in the real world is until we succeed and including the side called such systems will remain deficient. Sushi stem void this. You sell the humans described meaning to things through experience, things like feeling the force of the jewels as they fight down the insides. This piercing the smooth skin and a jew scratching out and running down the throat, all of which plays a causing gradually defining watch an avalanche. For a Computer System, on the other hand, its just the sequence of pixels linked to textual information. Po. Hi alex, this is mishondra g most new. Amazing. How could you use the motion data to build a better product . Yet despite the rudimentary perceptual system advances and also mastic Image Recognition, have revived the dream that machines will one day develop a nationwide and be able to help us new proceedings. The most secret feelings of our fellow human beings. We can recognise more than 20 scales of affective states, will all sufficiently intelligence finally be able to give us an object of onset about men at least the feelings for the machine. When to monitor the heads. When her gaze captivated the minds of chris jones news in his dying moments, how would such an automatic commotion to take, to actually work the 1st step would be to create a list of emotions from the convoluted infinite variety of, of states, of mind. In this sense, the research of american smaller just pull ackerman has been particularly helpful for program us officers, field trip to pass a new guinea design just came to the conclusion that humanity shows 6 universal emotions, which inevitably can be read on all faces. Joy and sadness discussed and dying. No surprise and fear it may be human nature. Edmonds theories have even in spite of television series, in which the boss, the detective identifies perpetrators based on the micro expressions of the truth. The classification is disputed demo sciences. But none of the lessons is the basis for all emotion recognition Computer Systems. Precisely because of its simplicity the 6 universal emotions serve as the basis. The next step is then to have thousands of faces assigned to the 6 categories with humans during the selection. Thats how the Training Data for the machines is creations. Machine learning continues until the Computer System produces roughly the same results with human selective. Joy stops. To might surprise phill, im the range discussed, discuss, discuss whats the best assessing is found. The systems could come to kids that program us email and the weld use is universal emotion to texas. Loophole dealing with emotion detection is how its being used. So i go to the one thats the location is within management of human resources. Over the past few years, Service Providers have been using chat bots to evaluate the job applications, aggravated because you dont, if youre an employer, you might have people being interviewed by a computer. And then you could have the perceived motion of, of the system being conveyed back to the potential employer. So those types of things make me a little bit nervous if say i was a job applicant, right . And then i have this emotion recognition trained on my face and based on the toner, my voice based on, you know, the way my mouth moves, like one eyebrows, a little higher, whatever they make claims about whether ill be a good work or whether i, you know, i dont know, have a steady personality, you know, things that are making really deep claims about like my into your, your life. Theres a pseudo science right. Is does not work. The really lovely. Good summer you are bugging me. Pardon me for small you made me i can easily imagine that the Advertising Industry could use such a tool to measure influence as well. News f girl c is also being used in classrooms to detect attentiveness and students by skied. Even be some heavy and slow to the idea of using it to build a lie detector and come, that means you could check suspects with some systems to determine whether a person is lying or not as the one that could ultimately determine from whether that person remains free on office, i dont know, it looks quite hard to insure it, and its not what you say, but how your site is higher. You help to simplify your process. Assess candidates based on science, optimization of content to maximize the moment by moment emotional engagement by target population. Emotion Recognition Systems awesome. Combined micro expressions and tone of voice for their analysis or when it comes to motor. Liza monica jones know the emotion to texas from google, amazon, and microsoft only reached the same clear conclusion. They felt absolutely nothing. The im since Artificial Intelligence has no taste, but it has no idea how delicious pastry kind of folk memories of a deceased on it has never felt what its like to have a gentleman rushing through your frontier. He is willing up in your nose, runs. Not afraid of anything, it doesnt get. Goosebumps knows neither pain or pleasure has no own opinion. No not stretched off and carries no repress trauma. In other words, it has nothing of its own to express. Sophia, a superstar among humanoid results, nevertheless, seems to prove that machines can acquire the ability to speak. Im a big fan of their sho west world. And i have a couple of ideas for the next season, the book. So if you doesnt know what shes talking about from her own experience, is really interesting conversation spring from have programming and input from that conversation apartments. Thank you for inviting me. I am thrilled and honored to be here at the United Nations like here after you and participating in an event to promote technological development. Okay, another question i have for you in many parts of the world, people dont have internet or electricity. What can we do at the u. N. To help them . The good news about a lie and daughter mation produces more results with less resources. So if we are smarter and focus on when, when type results a high could help efficiently distribute the worlds existing resources, like food and energy. I assume the relationship between sophia and Artificial Intelligence is Something Like the relationship between a magic trick and the Physics Research or physical bio. Its been about helping these bundled. Im not totally impressed by sophia. I think its only a bit farcical. Yeah, new mode is made by how many people are willing to ascribe Something Like intelligence emotions and the light is over to this at the right to see what so, and the extent to which theyre willing to play the game. I have someone who i actually consider charlotte as human and in each i me. So im sure that on how to the humanoid right. Adults can be seen as the embodiment of the dream held by an industry obsessed by parents. Human logic with computing logic the but the real strength of also official Neural Networks might not be its not for mimicking us, but rather its capability to assimilate voss data bases. And to sort through the analyze and derive correlations. That can help us better understand complicated phenomenon, such as the ground states of elementary particles and the quantum magnetic field. All the factors of ad prussia and humidity in the formation of cumulative numbers. Clowns escaped feler. Im going to know denying that there are many tasks when machines and help performed human english type. Ok. No human can take a very large database into their head and make accurate predictions from it. Its just simply not possible. So theres nothing new to say. I is becoming a scientific tool for research, as in many fields, including health care and then on the on demand or something. Really any kind of data that people can generate on a massive scale is really an area where Machine Learning and how its precisely this ability of Mainframe Computers to detect and risk factors for diseases. All the effects of a new drug by scanning huge patient data bases that explains the tech jillions possible for the data from the extremely lucrative health care sector. Will go down with the google used to be a Search Engine. But now it has a Health Care Branch to the same goes for apple. So it does, yes. And no one is asking why it was, it has nothing to do with the original business model. So this is all connected to big data. Now you see, let me it all started when 2 young computer geeks invented the Search Engine that most of us keep using to quench off this for information. Ready ready welcome to google ads. Now that youve come on board, its time to jumpstart your businesses Digital Journey and grow the invention of past. And as long as thats ton, googles found as into 1000000000 as well. The algorithms choose use the data and to tell them well biography. These algorithms are a secret just the recipe for coca cola. All that is known is that they are based on to cleverly applied processes. The 1st of which is profiling. Well known information about the person is brought together to create, they use the profile intimate searches, online purchases, streams, videos, messages, sent, and places visited. Provide increasing the precise clues about what products might interest a person. The 2nd process is mapping, which involves grouping uses with the same preferences to get the battery from the moment to use, it begins to browse the web, jumping from one page to the next that preference. So everything from music to politics and shoes is cassidy mapped out these connections squared clara as more use this makes similar choices like a far as poss, becoming more visible over time and not understanding as millions of uses create the actual communities im. So is the logical maps from which digital platforms did use other products . Shoppers might like the minds eye moved on. A visa, you collect a certain amount of information about the pass and once youve done and then try to predict how he or she will act in the future if based on how they have acted in the palm of in that so close to 100 and it always, it is using data from the past to understand the present and future based on a model created from the past. To understand the effect of these algorithms, researches that Boston University invented ads and distributed them through facebooks own advertising platform. It turned out that 80 percent of those who have shown the natural country music, calvin with whites, well 85 percent of those targets and for some of the ad for hip hop, what black, fictional job ive got similar results, 90 percent of those targets it to embark on a new career as a lumber, jack woodman, but 85 percent where women, when it came to a supermarket, job just a 75 percent of those just to an ad looking for new taxi drivers. What African American social psychological analysis tools to targeted advertising are aimed at probing or stereotypical behaviors. Semester explosion does reinforce them. But the same tools also phone to face as well. Systems that analyze all behavior as a guide or collective and personal decisions such as dazing ups that suggest partners that best match or Profile Software that helps banks and Insurance Companies to identify the type of people who might not pay back. The low boyfriend tag, the asked to go Risk Technology support used around the credit decisioning workflow. A programs that pinpoint dangerous areas and calculate the probability of a crime taking place on behalf of the police. Whats good sat up again from a chair. Okay, where the advertising spoke to is all predicts in crimes. The speed systems make general statements based on the day. So they have been trained with get through the bi monthly system. There is always a bias with the system. Well, up, so made no click on the show and one reason for that would be biased Training Data. It was easy frequency. And if i, if i take, for instance, a system that looks at surveillance videos, easy to use and tries to filter out suspicious People Associated to have any excuse to attend any uses to develop such a systems as they would 1st have to ask mr. Smith, to watch surveillance, videos, identity, and decide which people look suspicious. For the most curious cosigned, it uses pupa. And ill come if its something else, you know, really, of course, the outcome is then based on mr. Smith, judgement, which may be by it dont seem as soon as you think, and as long as it is mr. Smith who is talking points, youre aware that he is expressing his opinion. But as soon as you use his conclusions to train a deeper learning system to the bias is no longer on the roof. Can some kind of look at dicks social new context. Sequels usually context, the social psychological and tomorrow, the context will remain incomprehensible to computers. I think he is to come on some of these things. Systems like judgment is on what did they base their decisions . No monk, sewage sewage mom but on the basis of statistical missions for the bus. The just that just to just demo. And those are studies of proven lead to racial and gender discrimination, but some of that did seem not shown to just come national washer. And these conditions all you work on the front lines and the criminal Justice System. You make decisions every day that impact the community users. Thats why the north points sweep in a dozen us state beside go square in feelings, judges during trials about the risk of a defendant, re offending healthy, reduce risk and recidivism, at every turn or keeping safety. This Machine Learning system has been trained with Police Offender grace at various points and analyzes 137 criteria according to his secret formula and delivered its magic to the judge in the form of a short summary. The investigative journalist compared the results of 7000. 00 people and the soft with predictions with what actually happened and subsequent is only 20 percent of predictions. For serious crimes proved accurate. Most in cases the, the journalist found the predictions of recidivism. Full black people were much higher than what turned out to be the case. Well, they were too low for the white demographic. So if you, you have a racist criminal Justice System as we do in the us and you know, in much of the world you will have as a black bias built into the data. As i mentioned, theres not even the ultimately, the machine only provides a potentially fallible and in perfect assessment of the person issue small. So in a way the bias is being whitewashed, more a bit like with Money Laundering noise when the actual but i know the so how do we handle this more than die . Lemme should those who are given a choice, roth of trust machines or human justice machines might not compass the place. Humans are often not the best at math and we can be emotional and mature, sleepy, lazy, rebellious, fun, loving, overbooked or even completely delusional. To, to take those, he said, call the, all of these technologies fits perfectly with our quote unquote fundamental human leasing. This could all sit here. Its a smooth moist to heat because in todays world, such systems offer as a convenience by taking over parts of her daily chores or for the whole shock and thought, you know, its good to do. Or the challenge right now is to take control of our individual and collective destiny systems are doing just the opposite. Its been many areas of society shoulder. This issue that is are getting system work. Ok, thanks to mind your program. Low finder, were fine. Youre going to find a Perfect Match for you garden, originally intended as a memory age a i is now making recommendations and even automatic decisions. You mean it is going to analyze data from all of your money to, to find my son, me. Hi garden, you have 6 Perfect Matches the margin were gay. Neither meanwhile, Machine Learning systems with the billions and billions as possible settings, also complex that ease of the program is no longer understand the criteria on which the machine is facing its judgement. A time has been coined for this phenomenon, blackbox a black box Machine Learning model. Its a predictive model that is either so complicated that a human cannot understand it, or its proprietary, which means we have no way of getting inside. And understanding what those calculations are. We need, if it is trustworthy to boost, especially with deep learning systems. It is not clear how decisions are made sense only the results are visible. Sam quite and there is a movement where people are saying, well, we can still use black boxes. We just need to explain what theyre doing. And so ive been trying to kind of be beat that back down and say no, no, no guys, we dont need black box. You can just launch a black pack. So i have 6 decision. You actually really need to understand how you know how these predictive bottles are working in order to make better decisions. Pop out the car behind user friendly into faces. Theres also next those Decision Support system you all the best that. Com that. Com is definitely happiness as not to exhort apart from that, its well known company is like to avoid responsibility by saying Something Like ours. We are dealing with a very complex system here and it was on top. It was the algorithm, the kind of reasoning or excuse is of course, completely unacceptable acts at tablets. Its a very good way to sort of evade the responsibility and make difficult decisions that you may not want attributed to you as the machine. A young fellow so that the fundamental value of the funds is true is freedom of thoughts move which can be traced back to the enlighten. The kicker shows the said the most like now tradeoffs are being made. How to do what she does. We have delegating our decision, making that decision that ill give you just for the short sea level to the heads of the underlying goal is to prevent any error sweet to the. But to do this, we are on the control over to systems or the system to phone number. The, the sales driving car has long been the poster child or vaults. Official intelligence, epitomizing the stream of global to mation. Subbing humanity by making the decisions for us all the while keeping us safe and relieving us both of pressure on potential road rage the despise investments of almost 100000000 euros. New self driving car has yes. Been allowed in traffic outside of the test track without the human driver ready to grab the wheel at any given moment. Success, i see that it is very easy to use deep learning to make an unreliable prototype for some things very complex. I think like driving me sit tight just but it is very hard to develop this prototype further to, to send it back. So soon as you stand the main, the Police Showed up, or economic, political, or even technical reason is only it isnt the system itself that requires products relying on onto official intelligence to be brought to market while still not functional or only partially functional and t m a function, a c suit cannot silicon valley. They say they cant tell you, make it to effect some belong a yahoo or some other nearby. You have different tended words and didnt find any don just um, do you have more of a cost on the proof at that time is constantly being pushed back to dc costs. Artificial intelligence never reaches a level of performance. When you, the makes humans dispensable compete, proceed is it because youre not the predictable failure of a ton of them is driving, has to build a new profession, human, the system to machines in this company, for example, trains employees to take control of not quite a ton of mis vehicle the in just 10 years and then tell you, industry has sprung up around all sufficient intelligence assistance. Hundreds of thousands of workers around a wells per pet data for training of machines, checking and correcting the offices will simply replacing them when needed the this new form of human labor behind so cooled off official Intelligence Systems was invented by the 1000000000 the founder of tech giants, amazon of the just visuals when just based on announced the launch of amazon mechanical and tuck in 2005 could be made no secret of the fact that it was a project for artificial Artificial Intelligence and sufficiently that is to pretend Artificial Intelligence will say that even in this case, humans are doing the necessary manual labor and so to speak about to make these algorithms what functioning specifically amazon mechanical tuck is a crowd sourcing platform that addresses this apparent power dogs. The growing prevalence of ultimate to Decision Making systems. And the inability of all sufficient intelligence to be truly autonomous. The, the platform is named often 18th century, or thomas in the so called a mechanical tongue with a human hiding and it space, it literally refers to hidden labor, right . So yeah, they, its like, they do say the quiet part loud often when they 1st actually just jump out look so, so that were looking at a paradoxical situational. The 5th. So on the one hand, people are being asked to do what robot, so automated process is a not capable of doing that because, you know, mean useful while on the other hand, pretty well cause a task with activities that give them little wiggle room maps and much less autonomy than before, one to little figures and replace the open the pod bay doors hill. Im sorry, dave. Im afraid i cant do that. Science fiction has to drop off the computers could become so intelligent to know that they succeed in combination. Id like somebody to bring a dangerous how this mission is too important for me to allow you to jeopardize it but currently a very different sentiment has taken hold. Its not so much that the machines have become so intelligent that they are dominates in human. But rather that we are gradually submitting to the standardized logic of the machine in call centers like this one, employees have to adapt to an algorithm and are increasing the being monitored by all sufficient intelligence. Software identifies keywords and the conversation to ensure instructions are being followed emotions of the customer and the employee youre analyzing real time. Anger is detecting the system directly prompts the employee to be more empathetic at the end of the conversation, employee performance is race it. And if it falls below a certain school, they are immediate defiant. Is everyone i know the we awareness thing that dawn if an age in which multitudes of people are forced to adopt the way to the dynamics of interpretive system so that you dont need this system. Uh, definitely the cheapest used to our systems designed to maximize optimization and productivity. Sure enough to Going Forward to the tv to allowing no room for negotiations to, to go to show lee is uncle pool. In reality, the Amazon Warehouse is dystopian 9 to mass. Theyre located and where the police have to try to keep off with a partially Automated System system that can you find html. These are the intervals tools of distribution centers, the Computing Power as all sufficient intelligence ultimately seems to also little help when it comes to understanding the complexities of the real world and making the best decisions the, the, the work done by human subject to the come on this machine early calculate the optimization of the flow of goods. They are the ones assessing the page the you must have been reduced to being robots of flesh and blood sugar, the sol see from steel robust and why it or didnt did the, the my opinion. Autonation is a track me under control and know most masses of people to of the messing over the best one, you know, most can make it to produce sleep. My biggest concern is not computer bugs, but people who say can power to want to control others. And who increasingly have access to very powerful technologies is present px yeah, detected or g type results. Theres always, you know, a hopeful outcome is inevitable. And i think its gonna take work, right . Like hope is a, an invitation not a guarantee. The tony, the, the, the, the, to me come on talk to me or the village in calabria, queen the well, most of the only inhabitants in 10. 00 to 15. 00 together. They are keeping in place against, on the 13th, ready for an underground upgrade. Big data and quick construction site of the spin moms build this 18 kilometer mega project will connect germany to denmark for a whopping 8000000000 euros a real deep sea novel made in germany t w. The secrets lie behind these discovered new adventures in 360 degrees and explore fascinating World Heritage sites p w World Heritage 360. Now the this is the w news live from the land claims as of the night drone attacks in russias border region. Those reports come the day off to russias military says it foresaw. So across the board, a raid from the cri, you crane, keep denies being involved. So how worried is the kremlin about the tax on its own territory . Also coming off a nation wide range or a group of climate activists here in germany