so tomorrow where they're going to go this guy's last report the consequence of that is that the database starts accumulating a lot higher fraction of all the crimes committed by black people than committed by white people and you turn algorithm loose on that it'll say wow black people are really dangerous but we can ignore white people. so what happens is that. the algorithm. calcifies or embodies the bias in the police. i meant by their story really good summation and really going to bear really. showing yeah let's go tekla. is one of the lead organizers of the stop l.a.p.d. spying coalition a collective that campaigns against what it believes to be growing police surveillance and criminalization of the local community in 2018 the coalition took

the los angeles police department to court forcing it to release the details of its predictive policing program there's 2 layers to predictive policing one is a community and a location based where algorithms are used and the company principal has developed that algorithm which was owned by jeffrey brown thing and was a professor of anthropology and has a long history himself how this thing was created on the on the feeds of afghanistan and iraq directly coming from the border from the war zones and the other piece is operational laser which is a person and a location based predictable policing program laser stands for los angeles strategic extraction and restoration program and the reason why it's called laser is that the creators of lasers said that we wanted to go into the community with a medical type precision and extract tumors out of the community like lead from a decision that's where they came up with the act and that's how they came up with

the acronym as people are tumors the exact track that i think is not really. what credible and laser claim to offer is a one stop crime prediction shop the pitch is to tell police not just where crime will occur but also who might commit crimes in the future. the l.a.p.d. was using these technologies to decide where to deploy their police patrols. focusing resources on so-called crime hotspots like by these. so this is all the hot spots for a particular time period hot spots are created by the algorithm the prep for longer where they use the information long term crime history or short term crime history and then they create these 505500 square foot hotspots on what basis how are they

deciding this so the world to put it very bluntly there's a lot of pseudo science and now it's being presented as these computers are really snootful and they would predict when a crime may happen. but predictive policing doesn't just flag up a place with laser it also sticks to a person the l.a.p.d. maintain something called a chronic offenders bulletin these bulletins are undisclosed reports on so-called persons of interest people the police believe to be likely to break the law. this risk is calculated using a points based formula based on data from police records field interviews and arrest reports this is pulled together and scored by algorithmic software created by the defense contractor pal and here a company with close ties to the u.s. military. so how do you get yourself on to the laser system so these are the things that identify these risks so if you're stopped and a field interview cards filled one point so if you know there is it or if the

police stop stop you've got a point one point immediately you're going to point this individual was stopped the same day 3 times so the 3 and some 3 points right there if there had been a previous arrest with a gun 5 forms if you had any violent crime 500 parole and probation is 54 and and identified as again as gang affiliated 5 point. when it comes to the chronic offenders bulletin points can mean prison but it's not just about locking people up for hemant the data suggests increased police attention at the borders of a historically deprived area called skid row which helps keep the poor contained from the more affluent neighborhoods nearby. so this is like a beachhead so think of the defense of financial district yet from poor people you know when you talk about hot spots you know you will see the dirty divide how the proximity of extreme wealth and extreme poverty co-exist right here about 2 blocks

from should take a walk absolutely. he was going oh man i am doing good to me general. secretary of. the building right there. i meet steve richardson who goes by his street name general doe gun he's a former prisoner and skid row resident who now works with the coalition campaigning for greater protection for the local community. say you guys have been doing work on this predictive policing stuff right is what does that look like out here on the street to people who live here so predictive policing rolls out at a lot of way because i mean skid row is ground 00 all experiments that happen you know so these poor folks of course so all a little programs l.a.p.d. spy programs everything that they come out with is 1st tested right here they say 1st last the safest cities just right here was growth 110 extra police to skid row

make it the most oldies community not only in america but 2nd in the world to baghdad get all kind of patrols on skid row so we got the cops on motorcycles we got regular cars we got. we got detail cops there's all polies in like a 15 block area what are cops on horses right smack in the middle of the house you know they have no i think the fans continue to come out here from a lot. about 80 percent of people here are black right about 80 percent of people suffer from something. a disability maybe physical you know semi or mental and all of us is full of. the most arrested person on skid row was a woman 8 and moody sousa arrested under the 80808 times for violating

4118 right 4180 days is up when this bill called to say you can sit sleep a lie on public sidewalk so our only crime was she was homeless and have anywhere to go and was forced to sleep in public space she got arrested $118.00 times for being 108. for just for just being in public space and it was all over you know based on a lot of predictive stuff like that and the point you you joe gone and you have and are making is that this is a practice that goes way back right over policing in this community goes back decades and then that information from that then gets fed into the computer and the computer turns around and says we'll go back and do some more of the same thing right now and the computer before the information gets in the algorithm is designed for policing so the algorithm would create outcomes that an agency wants to achieve and this is really the key point and the outcome that the agency wants to achieve in this community is cleansing and damage when.

we walk further along the tents begin to thin out as do the local residents gathered on the sidewalk we're it's obvious we're approaching the outer limits of skid row the hotspot boundary hammond had pointed out earlier. this is like if on the storm a host of hot spots that a person from skid row would be walking into and this is where you will have more policing waiting for people who are for him than waiting for people to give them tickets waiting for people to throw them against the wall right. for people who intimidate and harass and demand to believe the neighborhood. but few weeks after we left skid row the l.a.p.d. announced that it was canceling the laser program the pushback worked police admitted the data was inconsistent but the l.a.p.d.

says the predictive policing tool pred pull is still in operation. so let's think about the incentive structures with some of the predictive policing tools that we've been talking about what does it say about the incentives and the problems we're going to have with these tools that you've got counterinsurgency software then essentially used for law enforcement purposes i hate to have such a sinister. interpretation but i think it's about opening up new markets to sell this software to 0 and law enforcement in the last is you know been a great market for lots of military technology is quite frankly i think that there's actually the opposite incentive to get it they have the incentive to get it wrong predictive policing software has an incentive to make the sale with police so their incentive is to is to make predictions that are as close as possible to what the police already believe is correct so given that it's really hard to know. if ai

has been tried on representative data or or not if we have real reason to suspect for example that there might be bias than isn't there a question about whether the system should be used at all well i think that's the fundamental issue is that we're seeing the deployment of all kinds of automated decisionmaking systems or ai over we want to kind of characterize it and we don't know the effects until after the fact after the damage has been done is primarily how we're learning quite frankly about what doesn't work and i think it goes far beyond bias i mean we're talking about aggregating data about us building data profiles that for close certain types of opportunities to us and what's more dangerous i think in the digital age about this is that you know in the 1950 s. if you tried to get a mortgage you were you were black and try to get a mortgage at a bank and you were discriminated against you were very clear about what was happening that discrimination was not opaque and when it moves

into a software modeling system what instead you have is a banker who's like you know i'm sorry dr noble you just can't have it and i don't really know why and so that lack of transparency is one of the things that i think we're kind of trying to contend with here and this just becomes a wholly normalized process we don't understand or with you know the the models for actuarial science for determining whether you're going to pay more insurance for example because you live in a particular zip code doesn't even account for these histories of racial segregation housing covenants real estate covenants so just because we look at the zip code that doesn't tell us about this long history of discrimination that has sequestered people into particulars of codes those are the kinds of things that i feel like over time become harder and harder to see i think one of the things that i find. worrisome is that we talk about data being collected for these kinds of

systems and for the most part they just collect of some completely different purpose it just happens to be there in policing data is created by the police doing what they do they're driving around they're stopping people there occasionally arresting people and so forth that data gets produced and then is used in a predictive policing model it's not collected for the print predictive policing model that's a 2nd order effect that's used because the data is already there and it turns out that it is a terrible way to predict where future crime will be because what police do is not collect a random sample of all crime they collect the data they can see this is true in most of the places where people are applying i think it is useful to detect where bias is happening and simulation can be important that i think that's true however it doesn't necessarily allow people to have again this conversation that i have been discriminated against it's just sort of leaving the

expert analysis to make that discovery when in fact there are a whole bunch of people that wanted to be homeowners or you know wanted to move house and they don't really understand why these decisions are happening so as a data scientist what's your take on this how do we build a kind of test for when it's appropriate at all to use machine learning and when it's not the question should be who bears the cost when a system is wrong so if we unpack a particular system then we say ok we're building a machine learning system to serve ads and the ad that we're serving oh this customer's searching for sneakers but we served are boots ad. oh dear we are wrong here no one cares that's a meaningless meaningless problem the consumer could care less we get along ads all the time we're trained to ignore them let's compare that to a system which makes prediction about whether or not someone should get credit. in a credit based system if we're wrong the consumer who should have gotten credit

doesn't get it or the consumer who should not have gotten credit does get it in both cases in particular in the case where someone who should have gotten credit does not get it that consumer bears the cost of the air she doesn't get whatever it was that she needed the credit for to buy a house or a car or something the company that failed to offer the loan may bear a small cost but there are a lot of customers so they don't really bear much of a cost and so when the customer bears the harm. we can predict that the harms will be greater because the people deploying the systems a little incentive to get it right. we know that if people of color are over police or poor people are over policed and over arrested they are also likely to be over sentenced.

machine learning isn't just used to predict crime it's also used to decide whether a person should be given bail or how long a sentence a prisoner serves. criminal courts in the state of florida and use a predictive sentencing program called the correctional offender management profiling for alternative sanctions compass. in 2016 journalists at the us news outlet pro publica investigated compass and discovered an apparent racial bias at the heart of its algorithm. probably did. investigative report and one of the things that they found in their hand a review of all of their records was that african-americans were twice as likely to be predicted to commit future crime i found it incredibly interesting for example the story of died one of the reporters told that there was a black woman

a young black woman who had taken a bike and one of her neighbor's front yards and kind of ridden it around and the person here on the bike said bring that bike back and so she did it but a neighbor called the police on her and she spent 10 days in jail and the compass software gave her a score of 8 out of 10 that she was likely to commit a crime again and that and they looked at white man who had a history of violent crime of history of being in a. now out of jail and the software gave him a 3 year so he was more likely to be replaced. once again the bias in society was revealing itself in the machine.

let me take. like no place on. the brain. underneath the strongest fastest and most skilled. nations the consequences in stadiums that are to. discover our newest destination defeat the women's world cup france $29.00 t. this is a dialogue reading about it for us and staying at it on international media and on t.v. why should we stop this conversation with skepticism because there's a lot of it on my everyone has a voice we are being taken advantage of just because we are small community without any network to seek help join the global conversation announces iraq all they want to do is start of the same kind of debate that we have here in st. true confessions more thorough not

a big cleanup but not all right cynical example of communist propaganda and to put it in the bay area one i would want to do it the whole in 2010 al-jazeera access to north korea to investigate be a legit use of biological warfare by the us during the korean war rewind revisits dirty little secrets on al-jazeera. and i'm talking about how the top stories here on al-jazeera the united states has released a video it claims shows iranian revolutionary guards removing what it calls an unexploded mine from the hole of one of the tank and u.s. extra state might pump says explosions were carried out on thursday and only iran

had the weapons in the expertise to do it the japanese owner of one of the ships said he doesn't believe in mine all to people who were involved in the holes and more than a good many the crew is saying that it was hit by flying object they're saying that something came flying to put a bomb on the side of the boat is something we are not considering iranian president hassan rouhani has said that the united states is pushing an aggressive stance that cannot be tolerated he was speaking at a gathering of asian leaders and. the government of the united states over the last 2 years is using economic and military capacity and is creating an aggressive approach the united states has stepped over all the norms and regulations of the international community and has created new threats for the region and the world a military spokesman for yemen's truthy rebel group is warning civilians to stay away from airports in saudi arabia and the u.a.e. but how would he says that radar systems have been targeted saudi arabia's ports near the border with the the head of the operations at airports military sites will

continue as long as the boy in yemen goes all. homegrown governments may be wavering in its support for a new told to allow extraditions to mainland china another mass demonstration on sunday is planned to stop the bill becoming law and advise it to government lead to carry law and says legislators should abandon discussions of the bill because of the level of opposition to it. london call it as a rule that julian assange will face a 5 day hearing in 2020 a whether he will be extradited to the united states or not wiki leaks founder appeared via video link from the london prison where he 7 a 50 week sentence for skipping bail military leaders in sudan admits they ordered the dispersant of the sits in protest and cutting which led to the killing of dozens of demonstrators protest as managed to get round an internet blackout to release new video of last week's crackdown at all me h.q.

agenta spokesman expressed regret for the deaths of protesters. are you up to date with the headlines hit on more news coming up right after the big picture.

the. you know. the risks of bias baked into machine learning aren't just confined to law and order. upon release prisoners must reintegrate into a world that is increasingly automated. today for them as for you and me opaque computerized systems will help decide their access to state welfare to private finance and to housing take credit scores these are shorthand for a person's financial trustworthiness in many ways credit scores are the gatekeepers to opportunity and increasingly they're produced by algorithms fed on data blind to

context and history. if that credit report comes back with a low score that means this individual is supposedly a high risk so you begin to sort of just go around in a circle. low credit score criminal background can't get housing because you don't have housing you can't get a job because the job that you're applying for requires a permanent residence. there for a ged and are stuck in this cycle of an opportunity you're at the whim of a machine driven system that decides on the basis of different criteria that are on the notes to you. this is one of the darkest topics of our era there are human biases in targeting on the on the battlefield their human biases in who gets loans their human biases in who is subject to arrest

and these human biases are horrible couldn't we fix it with algorithms that wouldn't be biased but then it turns out the algorithms are perhaps worse the algorithms have refined the worst of human cognition rather than the best because we don't know how to characterise the best. i went to the work rebooted conference in the heart of the tech industry san francisco california to see if a i could be used to bring out the best in human endeavor some people are going to do well some people can do less well i met ben prng who heads the center for the future of work at cognizant a multinational corporation specializing in i.t. services. i know a lot of people are anxious about the whole notion of bias within the algorithm and

so one of the jobs we've speculated on little be creative is what we call an algorithm bias order to which could be a sort of morphing off of the traditional kind of cool order row to make sure of that the reason unconscious bias within. algorithms are going into production environments within big businesses so that people can reverse engineer decisions made by software you do look at job opportunities opening up you know have said that you do anticipate some job losses in certain areas yeah occluding some that actually people you think haven't seen there is a class of new software there's a motion the last couple of years in the industry it's called reports of process automation. and you can get a team of 500 people down to 50 people that's the reality of what's going to happen in big business is that a lot of that kind of white cold you know skilled semi skilled work

mid-level mid skill level what is going to be so you know is replaced by this kind of software in the snake denying that some people will be kind of left behind in that in that transition so what other jobs do you think that ai might open up in 5 or 10 years time so we came up with this job we call a walk or talk which is this idea that you know in a lot of. towns around the world certainly where i live in massachusetts lot of seniors they're very isolated so what if there was an imbecile platform where. people in the neighborhood could log on to the platform i've got a spare hour on a tuesday afternoon or saturday morning i could go and walk and talk with the senior in my neighborhood so people living in the kind of gave the economy a living a kind of portfolio style set of jobs they maybe drive. they maybe drive a lift they may be due to their house through the they may do things through task

rabbit what if they could literally monetize that spare time they have to go and walk and talk with a senior that doesn't sound like a technology based job but that would always rise on a high and fuse platform in the same way that. most of the people who do care work are women and women of color and guess what guess who's been taking care of other people's kids since they were in slaved and brought to north america black women this idea that somehow these historically oppressed suppressed communities are now in some type a better situation because there's an app interface between them and the new people who want that work done and then call it a fascinating new gig ng opportunity i think is just completely nonsense the experience of marginalized people basically foretells what's to come

for the entire population degrees of control lessening of autonomy. a real difficulty in confronting and sometimes resisting these systems. some say if you want to know what's to come with ai you need to look to china. the chinese want to be the primary innovation center for. is seen as both a potential driver of more social instability but at the same time the chinese state thinks that i can use this tool to call social address. china is home to 1400000000 people its capital beijing has more surveillance cameras than any other city in the world facial recognition technology is woven into everyday life getting you into a bank your residence checking you out at

a shopping till 800000000 internet users and weak data protection laws the chinese state has access to colossal amounts of data and china's credit scoring system aims to go far beyond finance. there is this ambitious goal to have a national unified social credit system that would assign a score to citizens to judge whether they were their behavior was politically acceptable or was socially desirable. the plan is for all chinese citizens to be brought into the social credit scoring system in 2020. and uses data everything from financial records and traffic violations to use of birth control and processes that data through algorithmic software to give people a score for their overall trustworthiness. a high social credit

score can mean better access to jobs loans travel and even online dating opportunities. can mean being denied some of the modern benefits of citizenship. probably the most troubling aspect of social criticism is not necessarily the social credit system itself but actually the application of some of these facial recognition technology is to expand the surveillance state and to check behavior of citizens in the western region of job where at. minorities waders have been disproportionately targeted in terms of their location being tracked 247 whether they're going to mosques which areas of their traveling to and that has been empowered or is in the process of you know empowered by facial recognition algorithms being connected through security integrators.

autonomous region is home to china's weaker population. and ethnic muslim minority that has faced systemic forced dissimilation. a small fraction of the weaker resistance to this oppression have turned to violence . including attacks on civilians. leading president g jumping to embark on a so-called people's war on terror. aimed at stamping out weaker separatism and imposing a secular ideology. new ai led technologies particularly facial recognition are the latest weapon in xi jinping crackdown. some reports have indicated that it was a database that tracked 2600000 residents. tracked where they were

going and that database had labels of sensitive locations like whether they're going to a mosque or whether they were going to this particular region. so that was updated on a 24 hour basis and that database had i believe more than 6000000 records so it showed it was tracking these people real time waders are now in reeducation camps. so that's a pretty significant departure from normal life where you're forced to study in a camp and repeat party montra. it's a stark picture of how artificial intelligence can go wrong the chinese government deploying ai to track and suppress its own minority populations. facial recognition checkpoints engine junk use deep learning technology to identify individual leaders cross checking them with data collected from smartphones to flag anyone not

conforming to communist party as unsafe a threat to state security. has become a test bed for authoritarian. this harsh system of control may seem a world apart from the west but systems like social credit actually have some parallels. in some ways if you think about the origin of some of the signs the social credit coming from some of the major private businesses in china how different is it really from a kind of experience or an equifax or one of these credit rating agencies that actually do collect also very granular debt on westerners and in that data is then shared with all kinds of other entities and used to make consequential decisions in current operation i would say that there are different i think the difference will be when it's not just your financial behavior one it's also your social your political behavior that gets observed and oftentimes the social credit system

becomes a projection of our own fears about what is happening in our societies in the west where it's not necessarily what is object really happening in china that is important but it's about using what's happening in china as a way to project what we're afraid of. so when i think about china's millions of wiggers being tracked 24 seventh's by a and potentially put into reeducation camps i think about the black community in the united states i think about predictive policing and i think kind of east and west one of the problems and worries about with ai is the way that it gets road tested on communities of color in the form.

the ways these technologies are being developed is not empowering people it's empowering corporations they are in the hands of the people who hold the data and that data is being fed into algorithms that we don't really get to see or understand that are opaque even to the people who wrote the program and they're being used against us rather than for us. there's this incredible informational imbalance isn't there that even as a handful of companies are acquiring more and more and more detailed information about each of our intimate lives we've got in some ways less and less information about them in the way that they operate it's nonsense when you think about the way in which fraud and corruption are words that get pointed at poor people who get tracked into these high highly surveilled systems. if they don't participate

they actually have no other option you don't get food if you don't participate you don't get to go to school if you're not in the system properly tracked and so i think these kinds of things are. are the questions again and that also might need to be regulated you know beyond kind of the technical regulations one of the limits there is that so much of the pressure or focus in those movements is about perfecting the technology instead of thinking a more broadly about like what are the values that we're trying to implement and. who are they in service of now see to you worked a little bit with the obama administration didn't you on trying to determine how we make some of these automated systems more accountable to us did you find that that was a useful exercise how did that go i think there was a genuine interest in and thinking about what might be harmful what might be helpful what should we think about it now in order to forestall or prevent

particular outcomes that we can't undo that's right further down the line and so there was a lot of interest i think what's happened since then is there has been this increasing crescendo from industry saying these technologies are inevitable whether or not you like it they're coming. and what that creates for members of the community for citizens consumers is. increasingly a sense of despair or resignation well we might not be able to do anything about it and given that increasingly it looks like governments are actually punting to corporate governance structures or cut corporate governance bodies it can create a sense of despondence i'd like to pick up a slightly different but i think related part of that to do with a the kind of supply chain and actually the labor that is involved with some of this artificial intelligence because i feel like the phrase ai sometimes kind of

hides like a lot of human labor that's used to make a given system work right so you've got people in kenya who've got a label images to train software for self driving cars or people in phoenix right on very little wages looking at videos that would come up on you tube looking basically all day every day at a stabbing or a beheading so that that stuff can be taken off and you and i don't see it on our social media feeds is that one of the kind of problems we don't see a hidden problem of some of the artificial intelligence economy that there's a lot of human labor that is required to prop it up surely you don't see the data janitors who pay day they're not the ones that are. you know in our line of sight as things like silicon beach expands we don't see the sort of this aggregated geographically dispersed nature of these ai companies and who all is involved in making and cleaning data right and i think that's that's highly problematic

because it is contributing to this sort of magical or that surrounds a i can do all of these things efficiently and instantly and yet there's this whole kind of body of people that contribute to that and the fact that in many cases their labor rights are being disrespected i think is also a cause for concern. yeah i mean i think we know now for example from researchers i think of my colleague at u.c.l.a. sarah roberts who's done all this work around commercial content moderators bringing them out of the shadows so that we actually understand that there are huge . dispersed global networks of call center like environments where people are doing this kind of moderation that you talk about. you know one of the reasons why i think we previously didn't know about them is because they're such a deep investment by you know the sector and thinking at least in the us context of

the internet as a free speech zone for example and that anything goes but of course we know that anything doesn't go i find it always interesting when i hear the machine learning experts talk about how how crude in many ways things like kind of visual mapping is like you know is a table a table is the cat a cat right still trying to figure out these really rudimentary kinds of questions and yet when we see tech leaders in front of congress they say things like we're going to take down you know damaging content of violent content content you know live murders live suicides with a i sed to protect workers and i think you know that's really interesting because ai is not there. corey right to me. the role of ai in medicine is to. make better predictions but to make the

doctors lives better if you just look at the camera and smile. but there are some fields where ai is already there and has the potential to do great good. it could well transform the way we practice medicine a lot of what we're trying to do in machine learning or big data in health care is to predict these healthy to disease transitions so really tracking your trajectory over time right and use those think i'd trade. so let's have you think about bill's on here at the lab 100 clinic at mount sinai hospital in new york city and relax i go through and i've driven health check that generates a heap of data so now i'm going to have your results right providing a more complete understanding of my physical well being. with access to this kind of information doctors could save lives and potentially millions of dollars along the way one of the most mature areas in medicine is the application of ai to imaging data and to actually deep learning came from image analysis and video

analysis so it was really well tuned for that type of thing so an example looking at radiology images and diagnosing a tumor or you know finding a hip fracture those tools were already well tuned for that task i mean finding cats and videos but i think what's clear is is that the ai is at least as good and men and sent many cases in reality as a human is equivalent to a human radiologist might be more like airline pilots in a way so airline pilots are kind of there for you know takeoff and landing and then the plane flies itself for the most part but i think what radiologists are going to basically be doing is looking at the radiology image and basically rubber stamping it for. legal purposes really until we solve that problem with ai. ai that prevents disease what could be better but in a world where people have to pay for health care what would be so great is that private companies use your ai health profile to charge you more with. the future of

ai and health doesn't just depend on the tech it depends on our values is health care a human right. should a person predisposed to heart disease or cancer because of their low income or ethnic backgrounds have worse care than those better off. the aim should be decent standards for all not a 2 tiered system. there are so many positive potential applications of artificial intelligence that would change the world for the better one is a very obviously the pattern recognition that ai is good at has proven incredibly good at spotting malignant tumors incredibly powerful and inspiring medical advance that i've seen some papers on just in the past year but the technology is going to shortly underpin all aspects of our daily lives very shortly some form of machine learning artificial intelligence will determine whether somebody can loan whether

somebody gets a mortgage whether somebody gets bail whether somebody gets paroled and as we've seen it may well determine matters of life or death in a military context so the stakes could not be higher the quality of your decision making absolutely depends on the quality of the material that is coming into it and we have seen in other uncertain human contacts such as policing that in math data their machine learning algorithms has a distressing tendency to replicate and accelerate all of our preexisting human biases. if you have a whole. technological culture infrastructure a whole language that emphasizes a lack of human responsibility and instead emphasize a system where there are these artificial agents we pretend they have agency but what's really going on is received a trick to manipulate each other then they'll be more and more trickery and

manipulation and if we want to reduce things like turn attacks we have to emphasize human responsibility. the drone attacks that killed my client's family showed just how much responsibility we're handing over to technology. but we can take that responsibility back our curiosity and drive to innovate has been pushing the bounds of what we can do with artificial intelligence for decades. as ai is used to make more and more decisions about us from targeting to policing to social welfare it raises huge questions while i would be used to target minorities or clean up our air will it destroy our privacy or treat disease will it make us more unequal or fight climate change these are questions that should be decided in the boardroom of a software company what happens with ai is everyone's business the world according

to ai is our will and it's up to all of us to be sure it's a just one. the weather sponsored by cattle and rains. however still raining fairly frequently in the northeast corner of very much the corner of brazil ressa brazil largely a dry picture has been plowed further south you see rain north argentina at us on his way out there is just a cloudy stretch back up through the paraguayan sudden bolivia as well redevelop

into a rain band comes saturday which of course is stow on the higher ground of the central andes just south of santiago so the main rain as it should be this time of the it is in the north the constant spreads through palomar and beyond the yucatan it's been very wet recently but the last 24 hours the shall have also been showing themselves in salvador guatemala of course very obviously mexico where she's where the focus today's and you follow the arc of cloud out towards southern florida but catching keeper quite nicely in fact is still that the time of day the showers throughout the caribbean with the heaviest ones begin the great run today's up through breeders well we've seen significant rain recently up the eastern side of the studies there that's the front that's brought it is trying to go offshore with the fact around the water around is kept eastern counter-current wet now the full cost on friday is to $31.00 but toronto is in the sunshine that coming in from the west again a generation of occasional big showers into the plains. the weather is.

always. on vehicles harvesting every pick you take every click you make clicking everything to all the waves. so. it's time to watch the what. the deep state was the 1st civilian. creates a. critical engineer. as you know. this is al jazeera. and i'm a clock this is a news on life and a coming up in the next 60 minutes the u.s.

releases a video it says proves iran was involved in an attack on 2 tankers terror on dismisses the claim of sabotage to play music. the united states has stepped over all the norms and regulations of the international community around this president has hit out of the u.s. is saying its aggressive stance is a threat to global stability. yemen's hooty rebels warned people in saudi arabia and the u.a.e. to stay away from airports as they found to continue cross border military operations. and signs it a bill that would align traditions from hong kong to china it may be losing political support after the days of protests. so then the accusations are flying from the united states and iran over what was behind explosions on 2 oil tankers in the gulf a month the united states has released a grainy video saying it's evidence of iranian involvement iran is describing all

that as sabotage diplomacy well we'll be live to tehran muscat in washington in a moment but so we begin our coverage with this report from stuff into. what had. than to the 2 tankers in the gulf of oman well it depends on who you ask. in iranian t.v. video shows the norwegian own tanker altair on fire. and u.s. central command released this footage early on friday came in it shows iranian revolutionary guards removing an unexploded limpet mine from the japanese own courageous the timestamp according to the americans shows it happened off to the vessels crew had been rescued nothing is clear but the message from the us administration is iran was behind it it is the assessment of the united states government that the islamic republic of iran is responsible for the attacks that occurred in the gulf of oman today. this is

a cessna that's based on intelligence the weapons used the level of expertise needed to execute the operation recent similar raining attacks on shipping and the fact that no proxy group operating in the area has the resources and proficiency to act with such a high degree of sophistication. in tokyo the breakdown from the japanese who own the kuka courageous seems to shed some doubt on the american version of events the company official shows where what he calls a shot hit the tanker in 2 areas the head of the company gave more detail the holes and more they were going to the crew was saying that it was hit by flying object they're saying that something came to light to put a bomb on the side of the boat is something we are not considering iran has dismissed the u.s. accusations that it was behind the alleged attacks calling the incidence especially as its foreign minister accusing the americans of trying to sabotage diplomacy as the incident happened when the japanese prime minister shinzo abbott was into han

on an official visit both tankers were hit early on thursday morning after passing through the strait of hormuz all crew members were safely evacuated both tankers suffered damage around the waterline i mean the main thing to note is that they're quite small warheads whatever they are so those are not enormous entry entry penetration marks they clearly haven't. had a huge amount of explosives behind them so it was something much. you would expect a lot more damage on the ship at the moment there are far more questions than answers but what is certain is that this is a provocative and dangerous development in an already tense geopolitical environment stephanie decker al jazeera what iranian president hassan rouhani said the united states is pushing an aggressive stance that cannot be tolerated he was speaking at a meeting of asian leaders including strong as the government of the united states over the last 2 years is using economic and military capacity and is creating an

aggressive approach the united states has stepped over all the norms and regulations of the international community and has created new threats for the region and the world. what is trying to unravel over this 1st up we can speak to those who are who joins us from tehran and also tell us more about the iraqi reaction 1st well nic it's been one of categorically rejecting the american claims that the iranians had anything to do with this incident and many of the people we spoke to here they say that this is an attempt by the american administration to put further pressure on iran and try to bring it to the negotiating table all this while the iranians are trying to salvage the 2015 nuclear deal after the americans withdrew from it last year the general feeling here is that this is not something the iranians would do it is not something that would be in their best interest we've heard from the foreign ministry spokesperson who said the security of the strait of hormuz is our priority

that is the security of that area is up to the revolutionary guards in the reigning navy this is not something they would ever consider doing and that all the accusations are based on nothing there is actually no evidence and this grainy footage is not enough it's not. substantial enough it's not clear where this footage came from and who is visible in it so the iranians are adamant they had nothing to do with it and they're saying that the accusation that the americans have said that this is the rainy and behind this attack is also very very dangerous given the current climate in this region or adult things very much indeed let's switch over to moscow where we find mohammad dahlan mohammed of course all this is focused on an area of high strategic importance tell us why it is so important this . well nic this area is so important because about 30 percent of the oil supplies are shipped for the state of home was behind me and

that's where those explosions took place those attacks to explain or so this is the 2nd time in 2 months in more than one month that this attack happened some sort of attack last month for tankers where damaged and now too and the blame has always been a lot of to iran particularly by the united states and its allies so the concern is that that conflict that has been simmering between iran and the united states could come from the greats in the most important or one of the most strategic areas in the world solve vital for oil supplies so vital for world economy the ministry of foreign affairs in all my issued a statement earlier today saying about even though oman is not a part of this conflict it is deeply concerned about about what's happening and it is demanding but all parties to this conflict to return to negotiations and do everything that they can to avoid an escalation so everyone in the region is

concerned we see people who are demanding that a state and demanding a return to negotiations and also we see other countries that are demanding punishment of iran particularly. tacitly demanding for punishment of iran escalation including saudi arabia the united arab emirates who have jumped like the united states to the accusation yesterday saying they believe the american version of the events or so the u.k. has supported the american version of events so you see this conflict of wills with regards to and intentions with regard to what's going on and that's why many people are concerned about the possibility of a realist collation that could lead to an all out war in the in the conflict has been simmering between the u.s. and iran would well thanks very much indeed to the u.s. president has now weighed in let's cross straight to our white house correspondent can we how could it completely what he said. yeah donald trump calling into one of his favorite morning show programs here in the united states fox and friends

a network that's very supportive of the president on his birthday we should note and he doubled down on the finger pointing against iran that his secretary of state had done just one day earlier when asked about the attacks donald trump told the hosts of this television program that he saw iran as a nation of terror he was asked repeatedly though how the united states would respond he would not answer that question directly only to say we're going to see what happens we don't take it lightly that i can tell you but again doubling down in terms of how he sees iran is being responsible saying iran did do it you know they did it because you saw the boat the mine in the video had iran written all over it well i can tell you here in the united states not everyone is feeling that it is all as conclusive as the president believes it to be given the fact that there is in the back of many americans minds including members of congress the faulty intelligence of 2003 that led to the u.s. invasion of iraq there are many that are questioning the very rapid turnaround of

this very grainy video given the fact that the wheels of government in the united states move very slowly it is remarkable how quickly they were able to suddenly come up with this grainy video which many say does not conclusively point to iran so well there are many hawks that support the president here in the united states and his allegations that iraq is behind this the secretary of state saying this is all designed to disrupt the flow of oil of the strait of hormuz i can tell you there are others who are less eager to accept this intelligence and are already questioning it or that's the picture from the white house complete thank you and let's bring in our senior political analyst mo and bashar as we continue to try don't unravel this very complicated situation that i'm o. and donald trump saying that iran is a nation of terror russia and china the disagree with that.

absolutely and the china guy cooperation organizations summit couldn't have come at a time for iran iran that's an observer member of the group showed up made the speech and got all the support it needs for the time being diplomatically symbolically and certainly in terms of the nuclear deal and in terms of iran stance with the united states president putin said that the american withdrawal from the deal is both. that both undermined the deal and one law undermined the nuclear nonproliferation and it's destabilizing to the middle east the same thing for china that expressed its support for iran and for the deal so all in all it seems to me that internationally the united states is isolated when it comes to the question of iran and in a good deal and more and more countries whether it is america's allies like in

europe or its nemesis like china and russia see that the iranian as a much better thing than the alternative which is the escalation we see in the gulf and this is all in addition the shanghai cooperation organization could yet bring iran under its wing couldn't absolutely i mean i haven't seen yet science today that it will mean that it will become a full member 2 years ago it did apply to do so and if you remember just a few years before. india and pakistan became members now you have this group that's a quarter of the world g.d.p. half of the world population and it's a very very major bloc if you will of countries and if you think the background of this tension between china and the united states on trade and between russia and the united states on american deployment and.