the latest headlines from bbc news. america's most senior military commander in afghanistan says the decision to drop a powerful bomb on islamic state militants was based purely on tactical consideration, afg ha n purely on tactical consideration, afghan and american authorities say that 36 million about thes were killed. speculation is growing that north korea may be ready to carry out its sixth nuclear test as soon as this weekend. china has warned that tensions on the korean peninsula are increasing and conflict could break out at any moment. funeral prayers have been held in pakistan for a university student, who was killed by a mob after being accused of sharing blasphemous content on social media. he was beaten with planks. a young british woman stabbed to death on a tram in jerusalem has been named as hannah blandon. two others were injured. that is it from me. kate will be

here at 10.00, but first of all it is time for click. we are now more surveilled than we have ever been. cities are covered in cctv cameras. authorities are gathering data on its citizens. it would be all too easy to confuse the real world with a sci—fi dystopia. mr marks, my mandate of the district of columbia pre—crime division. i'm placing you under arrest for the future murder of sarah marks and donald dubin, that was due to take place today, april 22, at 0800 hrs and four minutes. no, i didn't do anything. in the movie minority report, the pre—crimes unit race to arrest would—be offenders before they have a chance to commit their crimes.

now, they use psychics but it turns out, something similar is being attempted using big data. in chicago, where the violent crime rate has exploded, law enforcement has been forced to try out unconventional ideas to combat crime. authorities are attempting to combine various technologies in an effort to predict where and when violent crimes might occur. marc cieslak went to chicago to find out more. violent crime in chicago has seen a dramatic increase. radio: a 15-year-old male, shot in the neck. both shots fired at her. shots were almost indiscriminate. shots fired. we need a wagon with a body bag also. the drug industry is what helps them fuel the violence, by being able to pay for their activity. in 2016, 726 murders were committed in the city, a 19—year high. that's more than the number of murders committed in new york

and los angeles combined. chicago is a city most famously known as the windy city. more recently, it has earned a nickname that few residents are proud of, though. they are calling it chiraq. that's because gun crime is so extreme in some neighbourhoods, they are comparing them to war zones. the issue has received increasingly negative attention in the us, with president trump tweeting, "if chicago doesn't fix the horrible carnage going on, i will send in the feds". the response from chicago's police department is a new initiative, driven by technology, which aims to predict where crimes are likely to occur. the university of chicago's urban labs are assisting the police in its efforts to integrate this technology into its operations. we have a lot of expertise

in analysing crime patterns and trends in the city, from years of working with data on the city of chicago. and so we are leveraging that expertise to really help the police department think about where it should be allocating its resources to be most effective. so what kind of data or information is it that the police are providing you with here at the crime lab? we have a number of datasets that we work with from them, including data on crime patterns, actual crime incidents, arrests, victimisations. a number of different methods of analysis are used, including machine learning and predictive analytics. this is software which takes large volumes of data and tries to identify trends and patterns. these trends can then help predict where a crime might occur next. this is a heat map of homicides in district 7.

and we are looking at this year over year, from 2011 to 2016. and basically, what you see on the map is the darker the red, the more concentrated homicides were in a given area. what sort of factors are you finding are influencing crime in these particular neighbourhoods? yeah, so, most of the prediction that we're doing is space—based. so, yeah, it's locations that are nearby that are high—risk locations, like a 24—hour liquor store, a gas station, where people tend to congregate. the weather seems to be playing a very big role in the data. you know, we've just had a beautiful weekend and we just had significantly worse amount of shootings than we had previous weekends. the police are using these predictive tools to inform the deployment of officers and resources to areas where they think crimes are likely to occur. neighbourhoods in chicago's west and south side are some of the city's most violent. it is these neighbourhoods which have been chosen to test the technology in a pilot scheme. we are just driving through chicago's south side now.

now, this is one of the areas which has experienced the highest incidence of violent crime, mainly gun and drug related. to see how all of this different kit works, i'm on my way to a police station which acts as a command centre, bringing all of the technologies together. heading up the project is deputy chiefjonathan lewen of the chicago pd. so this is our strategic decision support center. so this is where you bring all of your different technologies together? it is. this is the first time that this level of technology integration has been done, not only here, i think, but around the country. so what can we see on the screens we have got around us? so, all around us are various sensor inputs, cameras, gunshot detection. the screen behind you is something called hunch lab, which is a geographic prediction tool that brings a lot of data into a model to predict risk for future violence. so what you are seeing on these little boxes here are areas

where the model is recommending that we deploy resources and implement strategies to fight some of the violence it is predicting. and then it is telling us that we should deploy resources, visit businesses, do foot patrol, various tactics. shot spotterjust very quickly triangulates possible gunshot events using acoustic sensors that are located throughout the district, and it shows the officer exactly where, accurate to within 25 yards, that gunshot event occurred. and you can actually play the audio of the gunshot event, which we'll do now. so here's an event with nine rounds fired. gunfire. and in this case, you can see the location is actually the back yard of a house, so that's going to be very accurate. so this is the decision support system, and this is where everything comes together in one place. it will soon be available in the hands of officers on smartphones. so in this case, we are looking at a 911 call of a robbery thatjust occurred at 7600 south marchfield. there are four cameras within a 300 foot radius of that call.

here is the real—time video from those cameras. these guys here, these are possible suspects, or... these are people that might possibly be involved ? potentially. how do we know that this is identifying the right people? we find that they are very accurate. we find when we test and measure them, that the model's recommendations, because we can backdate it, we can look at a known outcome period and see how it performs. and we know that it's picking the right people because we know that it is accurate. but does it make mistakes? of course. that's where the people come in. but some of this technology is proving to be controversial, especially this. it's called the strategic subjects list. where hunch lab is concerned with predicting crimes and locations, this list is concerned with predicting crimes and individual people. so this is a risk model. just like hunch lab is a place—based risk model, this is a person—based risk model that is looking at variables such as arrest activity, so have you been arrested for a gun offence in the past? have you yourself been shot?

so it's using some crime victim data. is your trend line in criminal activity increasing or decreasing? what was your age at the time you were last arrested? it is using those variables. nothing about race, nothing about gender, nothing about ethnicity. it is using objective measures to determine risk for a specific person. it's basically telling us that this person is 500 times more likely than a member of the general population to be involved in a shooting, either as a victim or an offender. so in here, we can see his affiliations, his gang affiliations. he's a gang member. we can see also his, is this his arrest record that we can see here? his arrest record. you can see that he has a weapons arrest. he was arrested here for aggravated battery. he strangled somebody. so here's a first—degree murder charge. here's another arrest, this is a narcotics arrest. so the score estimates how much more likely an individual is to be the victim or the perpetrator of a violent crime. the police use this score to inform what they call intervention strategies. this is not designed

to be a punitive tool. this is used to drive what we call a custom notification process, which is literally a site visit to this subject, to say, "you've come to our attention for these reasons. we want to get you out of the cycle of violence. we can offer you the following social services". maybe it'sjob training. maybe if they have children at home, it would be childcare services. "but also, if you don't leave the cycle of violence and you keep committing crimes, you're going to be subject to enhanced criminal penalties", because you're a repeat gun offender, for example. and can you see why, if police officers go and visit somebody out of the blue, it might seem like they are being victimised, for instance? everybody who has a risk score has committed a crime in the past. otherwise they wouldn't even be in the model. groups like the american civil liberties union, though, disagree. they aren't happy about the use of some of these technologies. the police showed us a database of people who have been involved in violent crime in the past, and an algorithm which suggests if and when they might again be involved in a violent crime. they pay that person a visit. what's wrong with that? the police show up with...

oftentimes in large numbers, along with a number of social service providers. but what they won't say is what social services are offering. is itjust them or is it their entire family? what is the success rate once that occurs? the fact is, is that most of the people who are charged for... you know, if you take two people who are arrested for a simple drug possession, if one is white and one is african—american, the african—american is far more likely to be charged, maybe even convicted. we have seen that there has been, you know, in essence, a "once convicted, always guilty" sort of theme that comes out of this list. while there might be disagreements about the use of this technology, everybody i spoke to had similar ideas about an ultimate solution to tackling violent crime in chicago. it's got to be every, everybody that's a stakeholder in this coming together to solve the problem. what is really needed across this city is a commitment

to community— based policing. i think a lot of it has to do with preventing, with healing, and creating a space where individuals can civically engage back into the community. and that's it for the short cut of this week's click. the full—length version has a really fascinating story about a bunch of geeks trekking across the arctic for charity. if you'd like to watch that, check out click on the iplayer right now. follow us on twitter at bbc click throughout the week. thanks for watching and we'll see you soon. coming up in sportsday brighton are

a step closer to the head of the premier league. they beat wolves 2—0 to stay top of the table. we will have the rugby union and league scores. now though it is time for the film review. coming upa the film review. coming up a detailed forecast in weather to the week ahead. followed by the main stories in the news at ten. and then at 10.40 a look at tomorrow's headlines in the papers. hello and welcome to the film review on bbc news. to take us through this week's cinema releases is james king. what do we have this week?

first up, fast cars and tight t—shirts. it is the return of vin diesel in the fast and the furious 8. from the ridiculous to the sublime, park chan—wook‘s glamorous and amorous the handmaiden. and broadbent and rampling re—live their teenage years in the pensieve the sense of an ending. so fast & furious 8. have you seen the other seven? a couple. so we are onto number eight but still an impressive cast? impressive cast, impressive box office returns. this is such a huge franchise, this one will be huge. the interesting thing about the franchise is where they go with it. they have to give audiences what they want, which generally speaking are the big action scenes which is the car chases. the big point of difference this time round, is that vin diesel who plays dominic toretto, the lead character has gone rogue. he has gone to the dark side. he is hooked up with a superb criminal called cipher played by charlize theron,

who is a hacker extroadinaire. he is playing the bad guy again. we have a clip of them. this is what vin diesel does for most of the movie which is looked puzzled. here he is. let me ask you something, dom, what is the best thing in life? family. no, it is not. not if you are being honest. it is the ten seconds between start and finish when you're not thinking about anything, no family, no obligations, just you, being free.