Behind in the polls he is trying to keep up voter enthusiasm he needs his supporters to get to the polls in the next 7 days and the problem is where many of them are is were covered cases are rising in terms of infections an explosion at a Religious School in pakistan has killed at least 8 people more than 100 others were injured in the city of. The African Union is calling for Peaceful Elections in Tanzania Police on the semiautonomous sounds of our reach and reportedly killed 5 people who took part in protests and making ballot far ahead of wednesdays vote so don ethiopian egypt are expected to resume negotiations over a controversial dam project on the river nile after a 3 month suspension the African Union mediated talks follow the u. S. President s warning that the project could spark military action from egypt if youll be a has accused donald trump of inciting war after he said egypt might blow up the dam. The Fatal Shooting of a mentally ill black man in the u. S. City of philadelphia provoked overnight violence and protests a 27 year old victim was later identified as wall to wall as Police Reportedly asked him to drop a knife after which they shot him several times security cars and dumbasses were set on fire as police struggled to contain the crowds bangladesh is the latest muslim nation calling for a boycott of french products the growing protests come after french president a man in my class recent controversial comments on islam and follows the beheading of a french teacher who showed cartoons of prophet mohammed in class a call has defended the character chose and says hell tackle what he calls separatism friends as always more news on our website at aljazeera dot com ill be back after all hell be algorithm do stay with us. Trust is fundamental to all our relationships not just with our family and friends we trust banks with our money we trust doctors without really personal information. But what happens to trust in a world driven by algorithms as more and more decisions are made for us by these complex pieces of code the question that comes up is inevitable can we trust algorithms. From google searches to g. P. S. Navigation algorithms are everywhere we dont really think too much about them but increasingly governments corporations and various institutions are using them to make decisions about who gets Public Services who gets to nod how people are monitored and policed how insurance is challenged. I want to start here in australia where an algorithm used by the government has resulted in more than 400000 people being in debt to the countries welfare System Center like its being called the road at scandal. Back in 2016 a decision was made to fully automate a key part of the astrology and welfare system the part where the earnings of low income people are compared with the amount of government money they received the government says they do this to ensure the right amount of Financial Assistance has been that all the data matching algorithm officially called the on line compliance intervention. Had been in place since 2011 any discrepancies previously flagged by the system were investigated by government employees. With automation all human checks were removed the government had instituted an algorithm that essentially said lets match 2 lots of data together and mash them together and see if people have a dead cert some of the math was just bad just plain wrong like it was spread shaped so i mashing the cells together in the cells to the actual is a generalist whos been reporting on the road that story since it broke shes also an activist one of the chief organizes of the not why did ross Roots Campaign often people didnt realize that this was automated in the 1st place and it wasnt till we started getting people talking together on social media on twitter that we realized. Actually its the government has found it was almost like a 100000 people had been gaslighted into thinking they had done the wrong thing that it was their fault and their outrage when they realised that there was a fault in the actual algorithm in the car and the Australian Government disagrees we are doing. What. We are. And we are recruiting money for. More checks is a bit of an understatement the old system resulted in around 20000 descript c notices a year but in the early days of the new Automated System that jumped 220008 week. More than a 1000000 letters have been sent out by the algorithm sometimes disputing government payments from a spa back to 7 years and what was even worse was the systems were imposed on paper with intellectual disabilities with homelessness with. Is Chronic Health issues people who you know were barely literate or not literate all people who didnt know how to use a Computer People who were living in remote communities without access to internet people who just had no bloody clue how to deal with this sort of administrative bureaucratic. David begnaud was notified he correctly declared his income from a teaching job while he was on a disability pension back in 2011. Ready 4088. 00. Rather its going into his action toward you that youve. Done the wrong thing i know i had i want to do. More did and i was told i couldnt have that and the reason was that the computer post move and then sources a piece of information another person here another person in the business and they cant provide all that to me because it comes in to many places and it was a good product in other words the older rhythm is inscrutable its totally. Even the stock dont really understand it can you tell me how much evidence or how much notification didnt provide you proving that there was a direct. Anything other than this election. Thing that. Finally my text message came. To say hi the money is doing today. The fact that you couldnt get any concrete evidence about this is how we have calculated your days here is what you hear the hours you work. That really i found. It sure any confidence that i had in the government will do the right thing the fact that i couldnt prove to me that i owed the money. Really concerned me so i mean im fine that youre seeing a letter in the mail thats generated by an ai that essentially says the government wants to let you know that we under paging by 5000. 00 or that you should have been eligible for the services that we didnt tell you death or were telling you now and we can back pay nobody gets back to hide in fact youre only eligible for like back pay i think its 6 weeks of government service. Says that the government can right by getting back for many many is automation computerize asian nation if thats even a word theyre always sold to us as such a positive thing all upside no downside as a stroll is department of Human Services put it computerized Decision Making can reduce red tape ensure decisions are consistent and create greater efficiencies for recipients and the department the problem is how the challenge a system that has no facts no name and no besides the bottom of your letter say you know im in charge of this. Good afternoon welcome to the department of Human Services center like on a good day heated up sitting on help for a couple hours to speak to a human the real question is how does it come about that the government has either pay people but billions. Because really. The criminal waste is occurring at the end of the governments line its the government thats doing this otherwise youre saying 100000. 00 citizens have made mistakes or if thats the case then the system is too difficult for people to negotiate so im not here shaking my fist at technology its not digitals fall its not computers fault this system has been you know designed you know quite explicitly you know by government governments responsible for its failures and governments are really responsible for the hell theyre putting all sorts of welfare recipients through unfairly by issuing them. This is something i heard from virtually everyone i spoke to about wrote it they said were not against technology its not like algorithms are all bad its the people and the institutions designing these codes we cant seem to trust and this really gets to the heart of our relationship with algorithms there are often complex hidden behind walls of secrecy with no way for those whose lives are actually impacted by them to probe them because theyve been kept off limits. Despite all the criticism and even a formal inquiry is trolling government stands by its algorithm and automation in the welfare system. We do have a compliant. One. We pick out 300000000. 00. Through that. And we will continue. There are at least 20 different laws in australia that explicitly enable algorithms to make decisions previously made by ministers will start we dont really know the full extent of how these are being applied but there are places around the world where the use of algorithms are even more widespread. Like here in the United States where algorithms are being used to make Big Decisions across everything from the criminal Justice SystemHealth Education and him. Point the United States has a long history of algorithm used in many other countries Silicon Valley is a big reason for that of course but also theres much looser regulation here on how private companies and governments can collect and use data before theyre studying the effects of algorithms on American Society one thing is clear often its poor marginalized to get the west to. My my way or no prochoice in new york state to me weve been ginning you think shes the authority on everything to do with the board of mating inequality actually the title of one of the books the genius says americas poor and working class have long been subject to invasive surveillance and punitive policies she writes about prison like poor houses of the 19th century the bad conditions with thought to discourage undeserving poor from supposedly taking advantage of the system. What i see as being part of the digital poorhouse are things like automated Decision Making tools statistical models that make risk predictions about how people are going to behave in the future or algorithms that match people to resources and the reason i think of them as a digital poor house is because that the decision that we made an 820. 00 to build actual poorhouses was a decision that Public Service systems should 1st and foremost be moral thermometers that they should act to decide who is most deserving of receiving their basic human rights the genius studies into the automation of Public Services in the United States points to developments in the late sixtys and seventys along with the Civil Rights Movement came a push for welfare rights people are forced to live in the most human situations because of poverty africanamericans and unmarried women who were previously bought from receiving public funds could now demand state support when they need to do. Well technology was touted as a way to distribute Financial Aid more efficiently in almost immediately began to serve as a tool to limit the number of people getting support so you have this moment in history where theres a recession and a backlash against social spending and social movement thats winning successes that and discriminatory treatment and there really is no way to close the roles they cant close the roles the way they had in the past which is just to discriminate against people and thats the moment we see these tools start to be integrated into public assistance i think its really important to understand that history i think too often we think of the systems s. Just simple administrative upgrades sort of natural and inevitable but in fact there are systems that make really important conflict. Political decisions for us and they were from the beginning supposed to solve political problems among them the power and the solidarity of poor working people in the only 970 s. Close to 50 percent of those living below the poverty line in the United States receive some form of cash welfare from the government today its less than 10 percent in public assistance the assumption of many folks who have not had direct experience with these systems is that theyre set up to help you succeed they are not in fact set up to say help you succeed and theyre very complicated systems that are very diversionary that are needlessly complex and that are incredibly stigmatizing and emotionally very difficult so it shouldnt then surprise us that a tool that makes that system faster. More efficient and more Cost Effective furthers that purpose of diverting people from the resources that they that they need having algorithms make decisions such as who gets Financial Aid who owes money back to the government has caused concern among many different groups but whats causing a full on panic for some is the fact that algorithms are being used to actually make predictions about people one of the most controversial examples is the correctional offender management profiling for alternative sanctions its a bit of a mouthful but it sure is compass and its an algorithm thats been used in courtrooms across the country to assist judges during sentencing now of course algorithms caught way up arguments analyze evidence or assess remorse but what they are be useful is to produce something known as a Risk Assessment school to predict the likelihood of a defendant committing another crime in the future the school is then used by judges to help determine who should be released and who should be detained pending trial. Now the judge has to consider a couple factors here theres Public Safety and flight risk on the one hand but then there are the real costs social and financial of detention on the defendant on their family on the other now historically what happens is the judge looks into the defendants eyes and tries to say ok youre a high risk person or youre a low risk person i trust your i dont trust you now what algorithms are helping us to do is make those decisions better the compass algorithm was brought in to offset balance out inconsistency is in human judgment the assumption being of course that a piece of code would always be less biased and listen to prejudice however compass has faced several criticisms primarily accusations of racial bias inaccuracy and lack of transparency in 2016 a man named eric loomis sentenced to 6 years in prison took his case to the wood sconce and state Supreme Court his allegation was that the use of compass violated his right to due process it made it impossible for him to appeal his sentence since the algorithm is a black box impenetrable unquestionable. Eric loomis didnt get very far the Supreme Court ruled the use of compass in his sentencing was legal the verdict tell about revealed the ways in which the ever increasing use of algorithms is being normalized the court had a funny argument saying that nobody knows where these decisions are coming from and so its its ok you know its not that the state has some particular advantage over the defendant but that everyone is at this sort of an equal Playing Field and its not that theres an informational advantage for one side or the other to me i find that somewhat dissatisfied and i do think that in these high stakes decisions particular in the criminal Justice System we dont just want to have an equal Playing Field no one knows but i think we need to have an equal Playing Field of Everybody Knows we need to have this transparency bill clinton. System for the record equivalent the company that sells Compass Software has defended its algorithm it points to research commissioned that the Company Meets industry standards for fantasy and accuracy whether compass or most other privately developed algorithms me to acceptable standards for transparency is another question even when they are used in the provision of Public Services algorithms are often closed to the public they cannot be scrutinized regardless of that sharon says that in certain cases he would still be comfortable being judged by a group bust algorithm so i do think its true that many of the people in the criminal Justice System are the most disadvantaged and the reality is they probably dont have a lot of say in their futures in their fates and how these algorithms are going to evaluate them. And whether this would happen if more powerful people are being judged by these algorithms i dont know now me personally i would rather be judged by a well designed algorithm a human in part because i believe the statistical. Methods for something risky in fact are better than humans in many situations and it can at least one as well designed eliminate a lot of these biases that that human Decision Makers often exhibit the United States has a massive Racial Discrimination problem and Public Services thats real so it is really understandable when agencies want to create tools that can help them keep an eye on frontline Decision Making in order to maybe identified discriminatory Decision Making and correct it the problem is that thats not actually the point at which discriminated discrimination is entering the system and this is one of my huge concerns about these kinds of systems is they tend to only understand discrimination as something that. It is the result of an individual who is making ever actionable decisions. And they dont these systems are not as good at identifying bias that is systemic and structural the promise of algorithms is that we can mitigate the by sees that human Decision Makers always have you know we always were always responding to the way somebody looks who is we somebody acts and even if we try as hard as we can and if we really have these good intentions of the try to just focus on what matters i think is exceptionally difficult now that again is the promise of algorithms the reality is much more complicated the reality is that algorithms are trained on past human decisions theyre built by fallible humans them selves in so theres still this possibility that that by sees creep into the development and application of these algorithms but certainly the promise is that we can least make the situation better than it currently is one of the things im really concerned about about these systems is that they seem to be part of a philosophy that increasingly sees human Decision Making as a black box and unknowable and computer Decision Making as transparent and accountable. And that to me is really frightening because of course computer Decision Making is not as objective and is not as unbiased as it seems at 1st glance we build bias into our technologies just like we build them into our right we teach our technologies to discriminate. But on the other hand peoples Decision Making is actually not that opaque we can ask people about why theyre making the decisions theyre making that can be part of their professional development and i think this idea that human Decision Making is somehow unknowable is a sort of ethical abandonment of the possibility to grow and to change that we really really need as a society to truly address the systemic roots of racism and classism and sexism in our society so it feels to me like were saying will never understand why people make discriminatory decisions so lets just let the computer make it and i think thats a mistake i think thats it a tragic mistake that will lead to a lot of suffering for a lot of people. So going back to the question that started us on this journey can we trust elders its. The biggest thing ive learned from speaking with usher the genius of many of us is that ive actually got to question. It isnt really so much about whether algorithms are trustworthy its more about the quality of the dot of their feet in egypt its those designing actually. Human biases human imperfections thats what we see reflected in our algorithms and without better oversight we risk reinforcing our prejudices and social inequalities. That you often own. Are those are programmed to a shame that the past is the future that they want as well and by the past thats often things the veil of stigma and bias and stereotypes and rejection and discrimination and really what we need is to create systems the allow for. A new future scenario is that and different from the all of course we can build better tools operant tools and i see them everywhere that i go but what makes a difference about good tools about just tools is building those tools with a broader set of values from the very beginning so not just efficiency not just cost savings but dignity and selfdetermination and justice and fairness and accountability and fairer process and all of those things that we really care about as a democracy have to be built in at the beginning from step one in every single tool. Were actually getting our hands on the data were analyzing the data. Now one thing that weve done is we tried to make as much of the state of the old bulls possible so it encourage people to look at. This one of our one of our projects is called the stanford open policing project we release lots of data to promote Justice System we release code for people to play with the data and i encourage everyone to look at that and try to understand whats going on. You know maybe theyll discover a pattern that you consider it solves my biggest piece of advice is to never underestimate your influence on. You know you might be finding some machine. Some Computer System that youve never been able to make lets say to his him inflicted huge hamas suffering but no words can make government scared your voices combined can make said. And quote sit up and Pay Attention to gather we can shape the way these tools are created and the way that they impact does as a Political Community if we want Better Outcomes from these systems we have to we have to claim our space as Decision Making and Decision Makers at these tables. And we cant do that if we think that these technologies are somehow gods theyre built just just the way we build our kids we build these technologies and we have a right to be dialogue with them. Think of some of the Biggest Companies in the world today all of the big tech with algorithms as they call it the more that we use them the more data we produce were in the midst of a great race with donna and Big Tech Companies are on a chase and fires are rising on a wealth of information and we do all the commodity and the 2nd number 5 series be reexamined is where the perforations are colonizing internet like American Power of big tech and i just. Yes. And the disease because 50 percent of all deaths of children and. All. Such. Things likely to deceive and childhood education. You see a lot of people. Seem to. Try. To cease. To have. Some beauty around to make manufacturing back. Where the decades old book is being torn up and repeated by an outsider. And the fusion of western style management and socialist worker values appear destined for crush. The russian. Witnessed documentary on aljazeera. One half scottish and half lebanese so diversity is really important to me and aljazeera is the most diverse place ive ever worked we have so many different nationalities and this is a nice book together in this one News Organization and this diversity of perspective is reflected in our coverage giving a more accurate representation of the world we report on and thats a key strength of aljazeera. He began with war and. I felt i felt like i was that a documentary filmmaker once granted unconditional asylum contrasts his experiences with those seeking refuge today and intimate you know what the consequences of the policies of detainment is really unnecessary real this misery we cannot absorb this number that people have to suffer in this way it is an excerpt of a refugee. On aljazeera. A week to go until the u. S. President ial election and record numbers of americans are casting their ballots early. Player watching aljazeera live from doha with me for the battle also ahead call so peacefully elections in tanzania after violence and the arrest of an Opposition Leader in zanzibar a bomb blast kills at least 8 people and injures more than 100 others at a Religious School in pakistan secretary of state michael bell says the usa