boy 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 policing. by their tory really good summation and really going to be fair really to show yeah let's go tekla pam and con 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 position that's where they came up with a half and that's how they came over the acronym as people are tumors the exact

fact 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 to put it very bluntly there's a lot of pseudo science and now it's being presented as these computers are released neutral and they would predict when 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 identified these risks so if you're stopped and a field interview cards filled one point so if another incident if the police 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 treat it's a 3 point right there if there had been a previous arrest with a gun 54 inch if you have any violent crime 500 parole and probation is 54 and and identified is 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 khan 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 we 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. absolutely. he was going oh i am doing good to me and corey 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 rant is what does that look like out here on the street to people who live here so predictive policing rolls out and a lot of weight because i mean skid row is ground 00 all experiments that happen you know so this is 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 a day 1st last a safer city just right here was grown 110 extra police to skid row making it the

most oldies community not only in america but 2nd in the world to baghdad got all kinds 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 a house you know they have no thing but just continue to come out here from a lot. about 80 percent of people here are black right about 80 percent as 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 808084 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 100. a year 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 doeg on and you have and are making is that this is a practice that goes way back right the overpolicing 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 tense begin to thin out as to the local residents gathered on the sidewalk we're it's obvious we're approaching the outer limits of skid row the hotspot boundary hamad had pointed out earlier. this is like a fun the still form a host of hot spots that a person from skid row would be walking into and this is where you will have more policing waving 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 to intimidate and harass and demand to believe the neighborhood. a 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 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 were wrong there 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 and 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 else 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 a 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 in one of her neighbors 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 show 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. 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. the.

journey to work can be a challenge on its own. but for some peruvian villages traversing one of the world's most dangerous roads is a risk that comes with age of. we follow the journey of these people as they get to survive. risking it all. on al-jazeera. this is a really fabulous news from one of the best i've ever worked in there is a unique sense of bonding where everybody teams in but something i feel every time i get on the chair every time i interview someone we're often working around the clock to make sure that we bring events as i currently as possible to the viewer that's what people expect of us and that's what i think we really do while. true

confessions might never be green are many but not or a cynical example of communist propaganda and to participate in their one all i want to do it was in 2010 al-jazeera access to north korea to investigate the alleged use of biological warfare by the us during the korean war rewind revisits dirty little secrets on al-jazeera. i'm not intending on him with the top stories on his area the u.s. secretary of state might propose says iran is responsible for attacking 2 tankers in the gulf of amman he offered no concrete evidence but said it was based on intelligence weapons used and the level of expertise required both ships were

damaged apparently by explosions near the strait of hormuz one of the world's busiest shipping routes no economic sanctions entitle the islamic republic to attack innocent civilians disrupt global oil markets and engage in nuclear blackmail the international community condemns iran's assault on the freedom of navigation and the targeting of innocent civilians today i have instructed our un ambassador jonathan cohen to raise the rands attacks in the u.n. security council meeting later this afternoon our policy remains an economic and diplomatic effort to bring iran back to the negotiating table at the right time to encourage a comprehensive deal that addresses the broad range of threats threats today apparent for all the world to see to peace and security sudan's ruling military council has admitted it ordered the dispersal of a sit in protest outside the headquarters of the operation to clear the protesters

on june 3rd resulted in dozens of deaths and hundreds wounded the sit in began at the start of april and prompted the sudanese military to topple president bashir and mitchell leadership has resisted calls to hand over power to a civilian government has now been charged with corruption. uganda has banned public gatherings in parts of the country after a 2nd person died of the abode of virus the 2 victims are a 5 year old boy and his grandmother is the 1st time since the outbreak in the democratic republic of congo last year the virus has spread across the border the world health organization is holding an emergency meeting on friday. boris johnson looks on track to become britain's next prime minister after he won the 1st round of a leadership race the former foreign secretary received the backing of more than a 3rd of conservative m.p.'s there are now 7 candidates vying to take over from prime minister 2 reason may who stepped down as to a leader last week johnson has vowed to take the u.k. out of the e.u.

by the end of october. is that i'm still stay with us the big picture continues next and i have a news hour for you straight after that thanks for watching after. 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 they're 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 the to 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 you 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 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 a 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 a b m b 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 ride on a ai infused 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 innovations center for. 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 unrest. 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 being 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 job 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 monitor. 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 jiang 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 set of credit rating agencies that actually do collect also very granular date on westerners and and 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 way 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 out 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 of 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 resignation 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 i'm 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 the 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 ai 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. zarb 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 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 there's such a deep investment by you know the sector and thinking at least in the us contacts

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 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 going to 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 the actually deep learning came from image analysis and video

analysis 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 background 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 an 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 and other uncertain human contacts such as policing that math data runs through 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 the 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. hello there we're still seeing some unsettled weather over parts of australia at the moment generally over the past few days it's been drifting its way eastwards and has given us a fair amount of wet weather for the southeast corner i think as we head through the next few days the southeast corner is by and large going to stay dry it is going to stay cool day so melbourne with

a maximum temperature just to 15 degrees i think for many of us here there'll be some large amounts of cloud at times but it's tasmania where we'll see more and there is likely to be a few outbreaks of rain but the west is also likely to be quite a bit of cloud around coming and going force in perth but despite that with a bit of sunshine we should still make it up to 80 degrees there over towards new zealand and we've seen is a very lively thunderstorms in the east recently there's a bow to some very heavy downpours there is a gradually going to work their way eastwards away from us as we head through the next day or say but is that system moves away another one is making its way across the south island giving us some heavy rain as it does say and it gradually itself is a laugh as it works its way northward during saturday further north and for many of us in japan there are some fine a sunny weather at the moment it looks like tokyo will get to around 25 degrees the clouds are gathering to the south of us though and those are gradually pushing their way northward so i think saturday will be a very different day plenty of rain.

the.

the 30 is the red cross has provided a lifeline for afghanistan's physically disabled one on one east meets the remarkable people risking their lives to help the decided in bor to an afghanistan on al-jazeera. al-jazeera. where every. this is al-jazeera. hello nor in toto this is the al-jazeera news our live from london coming up the

way it is lashing out at the united states accuses iran of attacking 2 vessels in the gulf of amman. form a sudanese president omar al bashir is charged with corruption 2 months after being ousted from power in a military coup. a 2nd person dies of ebola in uganda raising concerns about the virus spreading from neighboring democratic republic of congo. and al jazeera special report on the migrants making a secret journey across the border from central america into mexico. and in sport brazilian striker martin becomes the 1st player to score in 5 different world cups but her record breaking effort couldn't same brazil from defeat against australia. just take my palm payors says iran is responsible for attacking 2 tankers in the gulf of amman you have no concrete evidence but said it was based on intelligence

weapons used and the level of expertise required. well both ships were damaged apparently by explosions near the strait of hormuz one of the world's busiest shipping routes one is on the tofu while the other one hasn't moved all the crew were rescued iranian television has shown this video said to be of the front 10 it was carrying 23 crew and had picked up petrochemicals in abu dhabi bound for taiwan the other tanker is the cook a courageous according to its manager the ship which was carrying methanol suffered hull damage it was heading from saudi arabia to sing a pool of distress calls came a month off to 14 because we're attacked off the u.a.e. coast and the port of for jairus oil prices have risen sharply as a reaction to the incidents under schapelle has well. 2 tankers badly damaged in the gulf of oman raising tensions and oil prices iranian t.v.

has been showing what is believed to be the tanker front i'll tear which had $23.00 crew onboard carrying petro chemical products from qatar and saudi arabia to east asia the other japanese own ship the kuta courageous with $21.00 crew was shipping methanol to singapore its management says it suffered whole damage but is not in danger of sinking both when the gulf of oman the entrance to the strait of hormuz where much of the world's energy supplies are shipped through every day. the initial report was all time cast sailing from the straits of hormuz to asia came under attack after that apparently another boat was attacked we saw ship tried to maneuver but 3 hours later it was attacked again it became too dangerous to stay on the tanker so our crew members abandoned it using a lifeboat. with iranian and american ships responded to the tankers distress calls sent within an hour of each other on thursday morning each rescuing crew members

who'd abandon ship. japan's prime minister happened to be meeting with iran's supreme leader in tehran trying to reduce tensions with the united states the iranians say the timing is certainly suspicious rather than coincidental budget. today the issue of security has a special importance on either in the states or debris in of the persian gulf or middle east and all around the world and we have been making if it's to protect the pace and security of the region and over the last few years practically we have proven that we care about the security of our neighbors and all other countries. around. the u.n. and other countries have condemned the attacks and called for an investigation facts must be established and responsibilities clarified. and they've that is something the world cannot afford is a major confrontation in the gulf region. thursday's distress calls come a month after 4 tankers including 2 saudi vessels were tax not far away off the

coast of the united arab emirates iran also denied accusations of involvement in the saudi led coalition at war in yemen has attributed blame for thursday's attacks without providing evidence i think it is a major escalation if we look to be in the clear going announced by the iranian regime. lately about how they will close the. strait if we look to what's happening in the bubble went up and also in the southern. route see how the. 3 think the line of seas and the international trade and we could nick those terrorist act we can say yes they are connected and there is a huge. of course that is this collation by the. as experts begin investigations to find out exactly what happened in the gulf of oman and it could take some time to establish who is responsible but washington appears

to have already made up its mind and chapelle al jazeera in a moment we'll speak to mike hanna at the u.n. 1st let's cross to roseman jordan and the u.s. capital i wrote some strong words from the u.s. state very strong words lauren from mike pompei of the u.s. secretary of state but not much in the way of concrete evidence pointing to iran as the mastermind of the tack on these 2 cargo ships on thursday morning this is more of what the u.s. secretary of state had to say to reporters at the state department no economic sanctions tell the islamic republic to attack innocent civilians disrupt global oil markets and engage in nuclear blackmail. the international community condemns iran's assault on the freedom of navigation and the targeting of innocent civilians today have instructed our u.n. ambassador jonathan cohen to raise the rands attacks in the u.n.

security council meeting later this afternoon a policy remains an economic and diplomatic effort to bring around back to the negotiating table at the right time to encourage a comprehensive deal that addresses the broad range of threats threats today apparent for all the world to see to peace and security. beyond what he was just saying just that how is the u.s. likely to respond to this well you can probably anticipate more consultations with the u.s. is allies and partners in the region and certainly with the economic up partners all of the countries that bring in oil and natural gas from the gulf to their homelands but certainly does this mean that there's going to be any sort of real military confrontation between the u.s. and iran that is something which many people here both republicans and democrats do not want to see happening because they say that in light of the u.s.

is a recent experience in the middle east this would not be helpful certainly there will be a full throated effort to try to mediate these tensions but probably a lot more talk than anything more concrete right now in jordan thank you very much mike hanna is following events for us at united nations what's the reaction been there. well certainly the whole issue has dominated the day's session of the u.n. security council at present there's a closed door meeting going on and i'm sure jeweled meeting precisely to discuss these attacks in the gulf but throughout the day this has been absolutely dominant there was a session in the morning which was a discussion about cooperation between the league of arab nations and the u.n. and during that most of the speakers referred to the day's news including at the

secretary general of the league of arab nations this is what he had to say as he thought a lot of healthier men who got bells on in the these dangerous developments must compel the security council to act against those responsible to maintain the security and stability of the region mr president some parties in the region are trying to instigate fires in our region and we must be aware of that. when although it is these attacks that will be discussed in this closed door session which is expected to end very soon there's also probably a why did abate underway and that is where the all parties concerned are sincere in their public positions that they do not want to undermine any diplomatic resolution to the ongoing conflict in the gulf the issue of responsibility for the attack certainly going to be under discussion as well it appears the u.s. has already made up its mind russia for one absolutely insistent that iran is not

responsible these discussions these debates all ongoing mckenna thank you very much indeed still to come on the on does their news hour. 1st johnson in the winds at the 1st round of the contest to lead the conservative party putting the brakes at hardliner in pole position to become britain's prime minister. deserted streets in hong kong just hours after fighting during mass protests. in support a key player in real madrid's rebuilding plan officially kicks off his career the club. sudan's ruling military council has admitted it ordered the dispersal of a sit in protest outside army headquarters 10 days ago the operation on june the 3rd resulted in dozens of deaths and hundreds wounded at a news conference a spokesman said we regret that some mistakes happened the sit in began at the

start of april and prompted the sudanese military to topple long serving president bashir but the purchase continued after the new military leadership resisted calls to hand over to a civilian government he was being reported that the former president bashir has been charged with corruption prosecutors say they completed their investigation into the former leader before charging him a sheet of ruled sudan for 30 years before being ousted. i will alow as a senior lecturer in north kiel university and an analyst on africa he says the continued influence of the military thanks holding bashir to account even harder. you really need one of his girls who are paid with transition they have to one way or another record with the question of what to do with the legacy foundations a legacy is old or time and it's done it's going to go down the tubes of course have to ask this question because no demands were accountability and justice by which you suffered under. the bus you now is how does

a society like to do when you have been going to continue to insist that you have the same military generals who are serving our wish you still running the country will be yours accountable and how does mr dinners were example to our bush if you were to say you 2 were in precisely the same kinds of abuses and crimes that you were charged. as being renewed fighting on the outskirts of libya's capital tripoli as forces loyal to warlord holly for have to battle soldiers from the un recognized government have to as warplanes targeted several locations across tripoli overnight now government forces say their forces are advancing on the towns of era and what the air abbi what dr will had has more from tripoli the clashes that he knew would between forces do we have today you and the government of national accord and fighters loyal to the world have to on the southern outskirts of the libyan capital

military sources with the government say that their forces are advancing in what did a b. and ends are in neighborhoods.