dartmouth a $956.00 that mccarthy organized a summer long research project focusing on machine intelligence it would become part of ai folklore and the place where the term artificial intelligence was 1st coined it would also bring it to the attention of the u.s. military. in those days the military was was the principal source of funding for computer science research and if you went into the founders you said you know we're going to make these machines smarter than people some day and whoever isn't on that ride is going to get left behind and big time so we have to stay ahead of this and boy you got funding like crazy as the defense department took over more of the funding the question started to being asked you know but what can we do with it now . the u.s. department of defense had its own research arm called the advanced research projects agency arpa the push for developing a i was driven by the logic of the cold war any technological advantage america
could get over the soviet union was pursued through our. the new field of artificial intelligence was flush with money and confidence about what it could achieve. but there were competing ideas about how i would lead the way to this brave new world. from the very 1st day there were 2 big approaches one of them was we're going to figure out the rules and we're going to teach the rules to the machine right we're going to say this is how you do this 1st or this 1st or that 1st of that so the 1st one is the so-called expert systems where you just codified old rules you can and say go for it the 2nd one was we're going to show it things we're going to feed it data and it's going to learn from the data you feed it the data and expected to build what people call a neural network which is that it looks at the data and the results and says ha ha this this this goes together and then does it again and does it again and till it
builds almost like a brain like structure. what happened was a book was published actually marvin minsky one of his colleagues that basically showed that these neural networks could not really learn certain things. what's typically happened in ai is something comes along that makes us start to doubt a piece of technology and that causes to sort of go underground for a while while the other stuff gets more attention. development of neural networks slipped into the shadows of ai research as expert systems took center stage and all the money. but by the airlie 1970 s. the great advances promise by artificial intelligence had failed to materialize a clumsy robot aptly named shaky and rudimentary processing machines fell way short of what the early ai visionaries had sold to their backers. for the us military ai
had lost both its appeal and its purpose. it cost what you call the ai winter which stopped funding for quite a while. the so-called ai winter would freeze state sponsored development of artificial intelligence for over 2 decades. chasse the number of bored possibilities is just astronomical. there's so many possibilities in chess that by the 20th move a chess board there are more possible ways the board could look than there were molecules of the universe. chess a measure of human intelligence for centuries had become a benchmark for how far computer technology had progressed and a proxy for how smart computers could be. with state money frozen private
companies such as i.b.m. funded their own development of ai. ringback and we did do everything. in 1975 b m engineers built a computer that took on world champion garry kasparov in a series of chess matches. they called this computer deep blue. this is a missing engineering i thought it was so good 64000 processors going it really high speed through chess millions of the 2nd. between the 1st game of the 2nd game the computer was trained on lots and lots of casper of games so it wasn't just becoming a good chess player but it's becoming tuned to playing against that particular person i was there. at the time here in this building where the game was actually
the machine was and where the machine was was invented and i was looking on the systems aspects of it it was search algorithms but search algorithms that were intelligent from the point of view of thinking about one another. over a series of 3 test matches deep blue beat gary kasparov at outmaneuvered outthought and out played the greatest chess grandmaster of his day. artificial intelligence had burst out of its winter and now looks set to blaze a revolutionary trail. very. high. that was a really key moment was in that when when i.b.m.'s deep blue garry kasparov to me that it still gives me goosebumps that it's back to war 3 broke through at that point in time it was the pinnacle of intelligence for anybody to be able to play
chess at the level that the grand master of the play and beating the grandmaster itself is is i think it's important to not be overstated. but the capabilities that vent into it brought together algorithms infrastructure which is hard and data sort of 3 of these aspects came together at that point and i would say it was the precursor to our latest revolve for ya i. i b m had built deep blue using the established expert systems model of ai the chess victory over kasparov was its greatest achievement to date. but to beat a person at a game involving set patterns and strategy was one thing beating humans at a game of general knowledge was another. the next big marker in the public
imagination was i.b.m. schwartz that was a machine that could play jeopardy. jeopardy is a game in the united states we give the answer to a question and then people have to try and work out what the question is. and became clear you couldn't win a game like jeopardy by just building an expert thing in each category there's just too much so they started moving to a different direction and they brought together bunch of people eventually from all parts of the company. by 2011 i.b.m. engineers were. working with new tools one key challenge was understanding human language using advancements in the new field of natural language processing they build layer upon layer of algorithms mathematical structures that allow the machine to learn human language through a mass input of data language and communication. is the essence of us as being human beings. it's one of the hardest
tossed and hardest barriers for to have crossed off the we did that on this us president negotiated the treaty of portsmouth ending the russo-japanese war watson who is theodore roosevelt good for 800 dollars what i.b.m. did was they played the best players in the world they made the t.v. came of the players who don't the best the 2 very top players and beat the. life on t.v. . i.b.m.'s watson computer like deep blue had triumphed in the battle between human and machine but unlike deep blue watson was not strictly an expert system its novelty was machine learning a branch of artificial intelligence that had been driven underground decades earlier. the machine learning side it almost died out but from ninety's on when you started having the internet and all
these digital devices in the mountains and mountains of data and you started feeding this huge amount of data to these machine learning systems they were uncannily effective. far from being abandoned machine learning had continued developing away from the mainstream of artificial intelligence alongside technological advancements personal computers laptops mobile phones high speed microchips. and then came the world wide web search engines tech giants social media smartphones machine learning now had the 2 ingredients it always needed massive computer processing power and data masses and masses of data. machine learning was now set to take off.
the united states government has been seeking to use machine learning to isolate targets for drone attacks for many years because i'm afraid we americans have a bit of a tin ear for irony it calls its program skynet. in which it is going to seek to try and find targets for attack when we talk about ai and warfare the other thing i want to be clear about is this isn't about the terminator right this isn't about killer robots what i want to talk too about is humans and targeting and the way that human intelligence analysts relate to information that comes out of semi-automated processes basically from people's cell phone metadata and we try to determine their so-called pattern a life where they're going to they know. who they talk to here's the problem i
think that the united states has the n.s.a. learned to collect it all well before they were able to understand it all faster is faster absolutely machine learning and artificial intelligence would permit the defense department to accelerate the process of target selection faster and always better. i want to make sure that people understand actually drones have not caused a huge number of civilian casualties for years the drone wars were an open secret in washington but it wasn't until 2012 that president obama officially acknowledged the program for the most part they have been very precise precision strikes against al qaeda but that was the same year we started to hear about signature strikes where the cia or the defense department would target not
a name or an identity but essentially a phone this is a targeted focused effort at people who are on a list of active terrorists. they would collect signals data especially telephone data and put it through a secret algorithm they would decide you were a threat based on who you talk to where you went to your friends were but that's not precise at best it's an educated guess so i started to wonder what if finals brother in law and his nephew were killed because of an algorithm. mornings and snowden time 29 years old i worked for booz allen hamilton as an infrastructure analyst for n.s.a. . in 2013 edward snowden blew the whistle on the u.s. national security agency's mass surveillance program he revealed that foreign intelligence gathering tactics were now being deployed at home casting
a nation wide net to catch a few bad fish. so while they may be intending to target someone associated with a foreign government or someone that they suspect of terrorism they're collecting your communications to do so. a year later michael hayden the former director of the cia and n.s.a. stopped short of disclosing the skynet program's existence but admitted the targets were being identified for so-called signature strikes using metadata collected from everyday communications we kill people based on. a signature strike would be selecting someone who looks like other people that you think are the people you're looking for you know one critique of this is demography is destiny in some sense. so we don't we can't know because of the nature of the beast right exactly what's going on at whether skynet was ever used but it seems likely to me that given what we've said about signature strikes that some kind of algorithmic targeting process
is being used to isolate targets in places like yemen and pakistan using partly signals intelligence to be clear we have no evidence that that model was ever used in practice i would be shocked if it isn't being used machine learning is pretty good at finding elements from a huge pool of non elements when president obama took over the so-called war on terror he favored drones because they meant fewer boots on the ground and as the drone wars expanded the method of selecting targets changed metadata was now a key source of intelligence but there was far too much of it for human analysts to process the machine learning would be used to identify targets and sift the good guys from the bad at least that was the idea machine learning is good at this problem called binary classification so is someone part of a terrorist network are they not part of a terrorist network machine learning is also pretty good it asymmetric problems
where there are very very few things you're looking for in a sea of things you're not looking for a few people who are part of terrorist networks in a sea of civilians for example so where do you think that kind of statistical targeting is likely to go wrong humans to binary classification all the time ok we have to decide if we're looking at you know a bunch of for example a bunch of dogs at the dog park and which ones are dangerous and which ones aren't when we say no that dog is not dangerous but it is that's called a false negative if we made a mistake we can go the other way we can have a false positive oh my gosh that dog's really dangerous but it's not. so people might take action on those false positives and will get innocent people killed i'm also worried about false negatives the thing about machine learning is that it assumes that the future is like the past it assumes that the things it's looking for in its prediction are like the things that it saw in the training ground so
if we have a problem where people are actively trying to disguise their activities then a machine learning model is likely to make a lot of false negative mistakes it's going to miss a lot of people who are likely terrorists that said i'm not sure that there's any other way to do it but the risks are very substantial and almost certainly mistakes that lead to people's deaths are going to happen here. we always knew the strike on pfizer's family was a mistake. we met congressman we talked to senators we haven't spoke to people in the white house national security council but while everyone expresses regret for pfizer's loss no one could explain why it happened or how it happened.
a horrific crime that shocked the world 51 people killed at mosques in christchurch new zealand why i want to investigate people for could have done more to prevent this massacre on al-jazeera. the latest news as it breaks local communities here importing are very frustrated because the lack of post storm services with detailed coverage this last night of the flag though people who talk to them say this struggling to make translates and just wants a better life from around the world as agnes she has been offered to those who rebelled against the government of any except those involved in human rights abuses a war crime. a journey of personal discovery my great grandfather he was a slave of the only property al-jazeera is james gunn and expose his family's
legacy of slave owner you know like my family's status and wealth has benefited from their choice to enslave people and america's debt to the black people today some over soul star we even scared to speak out because it's a problem. al-jazeera correspondent a moral debt. hello i'm marianna mozzie in london with a quick roundup of the top stories the african union has suspended sudan over the military gintas brutal crackdown on protesters calls for the group to take action and mounted after monday's crackdown which doctors say has killed $108.00 people
but sudan's health ministry says only $61.00 people have died in this week's violence the african union's peace and security council said transferring power to a civilian led authority was the only way out of the crisis. goes through for that decides that. military goes with food to her over power you see as a sort of authority without any sort of leave those who are 2 months ago it was really to measure those individuals. they did it is that stops in the establishment of this if you go because you know it's. mexico's interior minister says the country's southern border will be reinforced after armed police blocked hundreds of migrants there on wednesday the move comes as mexico's president expressed confidence that a deal can be reached to avoid u.s. trade tariffs donald trump has threatened to introduce tariff spine monday if mexico does not limit the flow of migrants u.s.
and mexican officials will continue talks in washington in an effort to make a deal president obama during mexican's to join what is called a border unity rally on saturday a german nurse who murdered dozens of his patients of the lethal injections has been sentenced to life in prison niels hogle is thought to be one of germany's most prolific serial killers is known to have killed 87 patients in a 5 year period to 2005 police suspect he might have selected more than 200 victims at random the judge described his killing spree as in comprehensible. the presidents of the u.s. and france along with other world leaders have been in northern france for the 75th anniversary of the d.-day landings around 300 elderly veterans attended the event to remember those who fought to liberate europe from naziism during a speech to the crowd a manual on call for global unity praising the achievements of multilateral organizations such as nato and the e.u.
my client prize will be knowledge jobbers brother in law and nephew were 2 victims among hundreds caught up in the american drone war in yemen. mini's protested the loss of civilian lives few knew that these were victims of computerized targeting built on data gleaned from phones and surveillance apparatus set into algorithms and narrowed down from possible terrorists to probable terrorists to definite terrorist. neither finals brother in law or nephew was a terrorist. as
a human rights lawyer i had been investigating civilian casualties and drone attacks in yemen and pakistan and over time we came to understand that the people we work with who lost loved ones were killed as a result of a semi automated algorithmic targeting process and there was a kind of article that came out about an n.s.a. slide deck that said well this this is how we're going to use machine learning to find an isolate targets in pakistan and somebody found you up as a statistician and asked for your take on this and you were like well look this is just this is just totally unsound yeah it was pretty unsound i mean is it just basically kind of racial profiling it's kale how do you see it well it's more complicated than that because the kind of information that we're working with in that case is to lessening that if the problem in that particular example that the n.s.a. analyst were trying to figure out was ok we identified the cia had identified a small number of people who were couriers for terrorist organizations were
carrying around flash drives and messages among groups of terrorist organization at work and the question is can you use the. phones calls that these people make and the places that their phones check in with the cells assuming we've got those people right but anyway please you know i think i think that the court i'm willing to believe that they got these people right the questions how many more are there that they didn't get yet but can we use these people's information to disambiguate them to tell the difference between these people and all the other people in the city they live in can you tell how different they are so that you can just use that to leslie meditator to predict which of the people who we know are actually are terrorist couriers and how few other people can you include in that list as few false positives can you get in that classification and i was very skeptical about the particular model that was used in that case do you see some resonances here and you know we're talking about communities abroad who have basically designated
a threat and then targeting them for armed attack does that chime middle with some of the policing and other targeting of communities of color in the states that you've thought it. you know i i i resist the temptation to kind of essential lies these as the same in every part of the world in every context we do know though that. technologies predate these kinds of automated technologies about classifying and figuring out who might be a threat. disproportionately or targeting people who might have politics that are say more to the left people who are more interested in civil rights people who are advocates of human rights labor organizers for example so i think the question is again always underneath these projects where the values and the politics of who who's being assessed who's being classified for what
purposes and those are fundamental questions that are going to be with even with the next version of the technology top l.a.p.d. spying coalition did research on drones being deployed in l.a. in 2015 they produced a report and they actually drew very explicit lines between the use of drone technology in the middle east and the proliferation of drone technology in police forces across the united states through the urban area security initiative and they have been making these connections right the military is ation of the police and the increase in 3rd party private services that are bought by public institutions so what how do you see it you know the defense community affecting the development of these technologies is that the kind of original sin of the thing i think that particularly in academic contexts. the big chunks of
funding have been for decades and continue to be from from defense i don't think that most of the funding that comes out of the fence establishment that's for pure research looks like it's going to be used to kill people the larger problem is that it creates a kind of. philosophical or even ideological framework that it's ok to produce things for the defense establishment and it makes sense to produce things for law enforcement because they're here to help us that failure of having a critical understanding of what military and police institutions do to the communities that are on the receiving end of their business i think that's the larger problem the residents i kind of see it and the reason i guess i asked the question is somebody who did work with those communities in yemen in pakistan is that they talk about feeling scrutinized and over police in a way that i hear when i hear you guys talk about these other communities you know the sharp end of the policing so it's almost as if the language that comes out of
them that says we feel our whole community are suspect it's never point it is that white collar crime the containment the prediction the assessment always seems to be at a community who we fear in some way in that we want to contain well and who the we is in that is very important because we also don't profile and track for example white supremacists nazis neo nazis in the same way we don't talk about them as domestic terrorists for example in the u.s. or in other countries so the framing of who is the threat is ultimately always the value question i think that's on the table that we have to be thinking about and of course the more you ought to me the profile of who the threat is who the threatening other is the more you flatten these conversations about values the harder it is to actually talk about what people are struggling for what struggles for justice around the world look like i mean and then some of the very companies
who develop these technologies expand into other areas don't you see you've got palin tear the security and intelligence firm who develop tools for counterinsurgency in iraq then fold some of their kit to the l.a.p.d. recently inking a deal with the u.n. world food program seeking to help them spot fraud i mean. where then it makes you think mass knows no context we can sell our product anywhere as long as we're finding us to testicle relationship. people can take 500 pictures to get that perfect shy. which is something when i was 20 could not have done because of what it on film and it was and you got what you got. one of his. vast swathes of the world with cameras on smartphones billions hooked
up to social media sharing images online gave machine learning engineers access to a massive data billions of images these images could now be used to train algorithms to teach themselves to detect particular features recognize particular forms. this new breakthrough was called deep learning very soon ai would use deep learning to teach itself to recognize the form of a cat just by looking at millions of cat images on the internet from there that made the leap to recognizing people. artificial intelligence now claimed the ability to pick out a specific face in a busy crowd to find the needle in the haystack. so what you have in france fear is a very typical surveillance saint's as a camera looking at a public street and people clearly want us to come on face recognition go to work
out of it seen a person and then it's got to work out with a person's face and it's got to take a biometric caution about face and s. and something that it can pat can compare against watch list if there is a match then that will alert and you'll see thoughts come up on the screen stop person is now going to the system has been identified clearly you can set your system up to alert the right people when that happens right so if you wanted to kind of test it out on my face for example how would we make that happen so very simply we would have a surveillance photograph or it could be something taken from social media or just from the internet that would be loaded into the watch list as you can say here such that if you walk past a camera that is linked to that watch list then you should be attacked if you have been saying and then send it to the appropriate place so we give it a try are. you
got a crowded street saying lots of people coming towards the camera. each time the camera tags that it say a person but they will biometric hotshot person and say if they're on the watch list so he can say here for example. cliff faces on the person against the watch less than on that back consequent it up person as it were also says if the camera doesn't say no it's ok. the facial recognition engine is working hard right now checking all of these people when clearly. you know coming out or screen and you know just a cultural view of your face an image really just for you or it will continue to identify the level of confidence will change depending on your angle to come up but the medicine is going in one single for a player on the list. these
facial recognition technology is should not exist for what purpose are they being brought into existence again who are they being pointed at and what kinds of protections should we have against that common critique of it is while it doesn't seem black faces very well but is that is that the whole problem with facial recognition i think for the people away joy. their position would be these technologies exist and black people will be ensnared in there especially black women the failure rate is greatest on black women are going to be misread by these technologies and therefore potentially harmed because they will not be able to kind of fight back against these technologies that are pointed out that. joy while i'm waiting of the massachusetts institute of technology showed how facial recognition programs were unable to recognize black faces particularly the faces of
black women. the problem was data and bias. engineers who were mostly white males trained algorithms with a data set of images that were themselves overwhelmingly of white males. the resulting algorithm struggled to recognize non white non male faces. the algorithm simply couldn't compute what they saw with what they'd been trained on the same racial and gender bias that existed in the wider world was trained into the system itself. one of the other key parts of the debate has to do with the extent to which the technology works on different faces so whether it's as effective on people of color or women is that changing does a kind of depend on the technology. obsoleted is only them how it's trying so it's a lot technology for example we have have trained it on different emma graphics in different parts of the world but certainly in terms of if you step right kind of
strip thought about debates away the on the underlying all it's official intelligence is kind of an illiterate company trying to in any which way they can clearly be trying to you know and have it in her bosses with and. one of the sharpest growth areas of artificial intelligence that is being acquired by government authorities all over the world at the moment is of course facial recognition right have you got some concerns about this technology do you think it's a good idea to be able to pick faces out of crowds or could it end badly the question is how much more is gained i think a by using facial recognition in terms of who's it deployed toward and in service of what you know one of the things we find is that often facial recognition technology zur argued for around law enforcement or terrorism do we have the data yet that says this is radically impacting their reducing terrorism is it working as a deterrent and effective deterrent for people to engage in crime the assumption underneath is very strong which is that we know who we're looking for and i think
that's a very difficult to prove assumption from the point of view of law enforcement. there's a lot of other mechanisms like this where massive data gathering helps law enforcement only in the aftermath not so much in the prevention you know if you capture every piece of information about all the video in a city after crimes been committed that may help you solve the crime it gives you very little ability to prevent the crime and i suspect this will be quite similar so the predictive power of it is in no way certain right we just don't know and meanwhile though these concerns about who it can see who it can't see bias so there are some researchers joy when he and others who basically have shown that it can't really see at least at the moment it can't see black faces is that a problem or one of several actually sees black women's faces the least effectively and so of course we want to make sure that there is accuracy especially if these things are used again to go make an arrest of someone and being used as the so
called science that legitimate that arrest and i think this is one of the reasons why those researchers are trying to pursue better accuracy higher accuracy i think there are others who would say. why are we legitimating facial recognition technology as we should actually be resisting them at every level i probably follow a little bit more along those lines and say why do we need these technologies who are they being pointed toward them why are they being trained on vulnerable communities in particular there's a big question why would we want to be included in these facial recognition technology is when the systems when they're doing harm to specific communities and what it makes me think of is you know are we in an era where errors are one of the ways in which we protest these systems over which we have no control because right now it doesn't seem like we have that many mechanisms in place there's no court needed system by which we can. protest or
abolish certain kinds of systems. or prevent them from being developed right so errors noise that sort of saying that seems increasingly like an area for fruitful discovery for civil disobedience is the larger question of what we're trying to accomplish as a society is the issue here and the technology makes it somewhat explicit if one of the things we think we want is law enforcement seeing everything that happens in our society with video covering every square or every inch of the public square and facial recognition identifying every person wandering through that is that the society we want to live in it's not the society i want to live in i think that's a terrible world and there's something intimate about the face in particular isn't there i feel like we're only just starting to clock the ways that the data is gathered about all of us but i feel that people instinctively understand and have a lot of unease about their face being collected thinking about detroit earlier
this year the city announced that it would be upping the number of surveillance cameras that it's putting into the downtown area so that number will reach $500.00 after a 5 year mark and this is an area of detroit that's meant to be redeveloped and you know all sorts of changes are taking place and there are a number of community community members that are really upset about this because they feel these cameras won't be only used for so-called security purposes they'll be used for other kind of this mission creep idea that it will start to affect how people socialize with one another and it's not just the public square is that right we see big kind of box stores wal-mart and others starting to test these these facial recognition software they say oh well we looked at it for shoplifters but we're not going to use that we just want to improve the customer experience how comforted are you by that i'm not i mean i think that again even if the if it's not law enforcement that's using these technologies but you know what does it mean that
we're again we're trading off our privacy we're trading off a certain quality of life that. we have come to rely upon to be ensnared in these systems so that these interoperable systems between companies can track my moves and of course they do this with our engagements on the internet and with our you know smart technologies in our in our pockets and in our bags i'm really concerned about that i mean that's much less as a technologist or as a scientist that worries me about and as a civil libertarian and in particular i think about. restriction on our freedom to to associate if i associate with someone in the public square do i then take on some of that person's implicit guilt the point of these systems is to be modeling the level to which any of us should be subjected to additional law enforcement attention that's explicitly the point these techniques these tools are to highlight who law enforcement is to pay attention to there are plenty of people who will be
watching this program who will say well we want to catch criminals in this does make me feel safer but i think these these technologies also get deployed in other ways like using facial recognition software when you're in a job interview and answering questions and profiling your face and your emotions and deciding whether or not you are reliable or trustworthy and having a machine in fact make a prediction about what whether you'll be a great employee based on the kinds of facial gestures that you make i mean these kinds of things are being deployed right now they're being tested in industry and. that says a lot of mean the what the kind of statistical model of great employee facial gestures looks like i think is incredibly subjective it's cultural it's not universal it cannot be standardized and yet we will see these things increasingly rolling out.
technology that can pick my face out of a crowd of people may seem innocuous and even kind of impressive. but when you think about the consequences for millions of ordinary people including really serious consequences then the conversation looks a little different romford here in east london is one of the places where metropolitan police have been testing their life facial recognition technology and the way that it works is pretty similar. a camera on this van here. checks everybody who walks by against a database of known suspects if the camera and the software find a match when a person is stopped and searched and potentially arrested. london's metropolitan police has been trialing facial recognition technology since 2016. the u.k. capital already has the 2nd highest concentration of c.c.t.v. cameras in the world only beijing has more it's why there's
a reluctance among civil liberty groups like liberty and big brother watch to accept another layer of surveillance. we are supposed to just expect every time it's been used and we found that 98 percent of that much is have an accurate he identified in the survivors of the public as potentially once it's criminals 98 percent yes. a lot of this inaccuracy is down to bad data for quality images loaded into the algorithms images often taken from low grade c.c.t.v. footage. the technology is far from proven and its use mired in controversy that's why even a city like san francisco the home of tech has banned facial recognition from being used by civic authorities including the police but in london right now there is no ban this isn't just catching images of people it's an identity check it's subjects members of the public to perpetual police line up so what do you say when there's
this comment made well actually if we could get this technology right then maybe it will reduce some of the cup. by and so bias policing and so forth whether we're talking about humans eliminating discrimination or technology and in 1000 discrimination the has to be the intent and what we can see already with this experimental technology being used it's never been tested potential racial biases there is no ins had to test the technology and see how it's working and see how it's affecting the oh so unfortunate i don't think this is going to solve any of those problems. over the next few hours we would see a number of arrests but not we were told because of matches through facial recognition technology these arrests were the result of old fashioned police work. more officers on the be leading to more arrests.
just as the trial in romford was about to end for the day plain clothed officers moved in to apprehend a man from a nearby fast food restaurant his image had been flagged by the facial recognition technology after police carried out identity checks he was arrested. artificial intelligence has come a long way since its early days of unfulfilled promise and shaky robots. but we're still far from building computers that can do all the things humans can do. and we're finding that machine learning can reflect some of our biases right back at us . in the next episode of the world according to a i will explore the choice we all face a lot of official intelligence figures to improve the lives of everyone. or to keep power and privilege where they already are.
hello again it's good to have you back well over the next couple of days we are going to be seeing some very active weather here across parts of south western australia is going to be back to back storms coming across this area and actually the temperatures with each of those storms is going to be going down each time so here's our 1st system right now bring some clouds across parts of perth and very heavy rain is expected as we go towards friday now from friday to saturday that system makes its way towards the east we get a break right there on saturday but if you look
a little bit more towards the west this is going to be our next system right here and it is expected to be even stronger by the time it makes its way probably here to perth on sunday out here towards the east the it is going to be rainy across the coast 1st townsville some showers fewer 24 in brisbane maybe some showers as well at 19 degrees there well for the north and south island of new zealand things have getting better here as one system is pushing through maybe some more clouds coming into your forecast as we go towards friday but not a lot of rain in the forecast over the next couple of days winds coming out of the southwest in christ church going to be seeing about 10 degrees there maybe getting to about 15 degrees in auckland but still clouds are going to be in the forecast across much of the region and for parts of japan it is still going to be rainy over the next few days with tokyo at $25.00 degrees there.
because. americans are struggling to pay their rent the problem isn't just limited to major cities. a former governor of the indian social back has cost the country. we bring you the stories of the shaping the economic world we live in. counting the cost on al-jazeera. zira. hello i'm maryam namazie this is the news hour live from london coming up in the
next 60 minutes protest leaders defiant in sudan which has now been suspended by the african union over this week's brutal crackdown mexico says it will reinforce its southern border to stop migrants but the white house says it's still moving forward with its trade terrorists. on behalf of my nation. i just want to say thank you. world leaders and veterans gather in france to pay tribute to the soldiers sailors and airmen who took part in d.-day 75 years ago. i'm paul reese and doha the biggest women's sporting event in history is a day away from kickoff the world cup in front a tournament that could change the face of women's football. welcome to the program our top story the african union has suspended sudan over the
military gentles brutal crackdown on protesters which doctors say has killed 108 people the suspension will stay in place until power is handed over to civilians the a u.s. also considering opposing sanctions against individuals it says are behind the violence but saddam's health ministry has denied reports that more than 100 people were killed saying only 61 people have died in this week's violence the pro-democracy movement has vowed to press on with its campaign of civil disobedience until the ruling military council is ousted. now reports. oh another person with a bullet in medics rushed to stop the bleeding. but another would all while we are sounding. gunfire. this was khartoum on monday and this is the latest video to emerge from when the palace military group known as the rapid support forces fired on unarmed protesters people are being treated in what looks like
nothing more than a large tent in the path of the advancing our south we have urged restraint from the security forces and we've urged that the government respects all of the basic human rights of the people including freedom of expression and freedom of assembly. but the paramilitary force behind this crackdown is known to respect basic human rights amnesty international says they are s.f. then known as a gender we killed raped and tortured 6 tens of thousands in darfur during the civil war that began in 2003 it's commanded by general mohammed how the garlow the deputy leader of saddam's transitional military council he's close to saudi arabia and the united arab emirates. on thursday khartoum was quieter opposition groups have tried to block the roads to stop they are a malicious the opposition had been in talks with an interim military council the
negotiations faltered on a civilian led transition to democracy. a sudanese professional association which has been leading the am to government demonstrations says they'll be no more talks with the military council it wants the militias to be disbanded and the transitional authority handed over to civilians the african union also says there should be a civilian government and has suspended saddam from the group until that happens. besides that. military council feared to hand over power to civilian authority without any affordably. measures on individuals and entities of stocks in the establishment of the city that. this week's violence has been the worst since omar al bashir was removed as president by the military in april after 3 decades in office. it's met al-jazeera.
speaking at the un members of the african union have also warned against outside intervention in sudan the should be ignored external interference by what so ever in the process of resolving the current crisis. there you will continue to closely monitor the situation. some are barak is a spokeswoman for the sudanese professionals association which has led the protest she says the international community needs to put more pressure on the military council. the suspension of. the last afternoon will exist but it's not enough. we need to ensure ringback that sanctions and pressure on the military council is there and could ensure the accountability of the minister councils or the influence of the evacuation of the protesters on the 3rd of june and # the african union should also be
a leader # should also reach any limit to just of the european union. and the united nations says the same pressure on the military council would have been it. is a crime against humanity. the right disassembly of peaceful protesters. resulted in catastrophic casual numbers of casualties and. it's something that is blocked supposed to be talking at this finding. well john henry is associate director of the africa division of human rights watch she joins me now from new york thank thank you for taking the time to speak to us there were previously creeping cell lines in a minute might not be prepared to allow these protests to continue in sudan but this week we have seen a brutal crackdown on pro-democracy protesters have you been speaking to people to residents in hard to him and what are they telling you. yes i have it sounds like
the atmosphere is still tense. earlier today certainly there were armed forces around a rapid support forces we're still in the city. people are you know are very it's tense it's really unclear what will happen obviously the last few days i've seen a lot of really gruesome news dead bodies being pulled out of the river a lot of killings at the protest state and there are still people missing unaccounted for there's been a rest are abductions including of well known figures so you know it's it's definitely grim and worrying situation and the paramilitary group formally known as the jan jaweed thought to be behind this violence there have been reports of bodies being thrown into the nile and specifically reports of rape what more can you tell
us about the tactics being deployed here. well the rapid support force is actually famous for some of the horrible crimes committed in dar for over the past few years and the other war zones of sudan there are there are there are renowned for the burning of villages and killings and rapes they have committed many rapes that have been documented by us and other organizations especially in the area but also other places so seeing them now come to khartoum under this very official umbrella. and then carrying out these crimes of course this is really shocking but in a way not surprising because it's consistent with what we've seen the r.s.s. do before. we have there been some remarks from the
international community but. clearly i mean this is sudan that the military leaders in sudan have the backing of some very powerful countries in the region what would you like to see and hear from the international community well certainly we we've heard that the african union has suspended sudan and what we want is actually a commission of inquiry or some other investigative body to be deployed to sudan to carry out a thorough transparent prompt investigation into the crimes that have been committed to information isn't coming our easily now the internet has been blocked and there is a much tighter control of the information and it is desperately needed it's needed because many things have happened that we don't know about if needed because people want to know what's happened to their loved ones so more scrutiny monitoring and
investigations of the crimes with a view to holding people the right people accountable so we'd like to see the african union and also the united nations bodies be get behind this the human rights council in geneva could certainly act on this and we've seen some good condemnation coming from and worry signals coming from various corners but these need to be followed now with more actions thank you very much appreciate it john henry joining their associate director of the africa division a to human rights watch. want to move to our other top story this hour mexico's interior minister saying the country selling border will be reinforced after armed police blocked hundreds of migrants there on wednesday mexico's president has expressed confidence that a deal can be reached to avoid u.s. trade tariffs the white house is standing firm on donald trump's right to introduce tariffs by monday if mexico does not limit the flow of migrants the u.s.
and mexican officials have been holding talks in washington in an effort to strike a deal president of broad door is urging mexicans to join what he's called a border unity rally on saturday. i'm calling all the mexican people from all classes sectors and cultures to rally in defense of mexican dignity and in favor of friendship with the people of the united states. well in a moment we'll hear from john home and get the latest from mexico city 1st out in rob reynolds who's watching developments for us from washington and we know that the mexican government has been trying to take some measures to satisfy president i mean that's unlikely to happen what do we know about the progress of these talks. well more him as you mentioned the talks are ongoing here in washington today
thursday. there's signs that both sides are working on the outlines of a deal that would head off president trump's terror threats against mexico the reuters news agency citing an unnamed mexican official said that the american side has proposed that it be allowed to deport immigrants or migrants from guatemala immediately to mexico without offering them the customary asylum hearings once they get to the u.s. border but there is no agreement from the u.s. from the mexican side on that as of yet now president trump who was earlier on thursday in ireland spoke to reporters saying quote something pretty dramatic could happen so that's a hopeful sign in terms of. heading off this potential trade war he was but he was also very adamant about the june 10th deadline for imposing tariffs that's next