calcifies or embodies the bias in the policing. i meant by their tory really good summation and really going to be fair really to show yeah let's go tekla. is one of the lead organizers of the stop l.a.p.d. spying coalition a collective that campaigns against what it believes to be growing police surveillance and criminalization of the local community in 2018 the coalition took the los angeles police department to court forcing it to release the details of its predictive policing program there's 2 layers to predictive policing one is a community and a location based where algorithms are used and the company principal has developed that algorithm which was owned by jeffrey brown thing and was a professor of anthropology and has a long history himself how this thing was created on the on the feeds of afghanistan and iraq directly coming from the border from the war zones and the other piece is operational laser which is a person in a location based predictable policing program laser stands for los angeles strategic extraction and res

and sometimes we describe this as selection bias meets confirmation bias and they live happily ever after the idea that we use historical data to train machines and algorithm to predict into the future is very important so for example if you live in a community that has historically been over policed you are more likely to have your algorithms point right back to those communities that have been over policed if you have people who have been over arrested like african-americans and latinos and degenerates people then your ai is going to point to those people once you feed that data and say ok i see there's more crime here let me go find some more. well guess what you're going to find if you go look for more crime you are going to find more crime where you look for it and not where you don't look for it. but then they added in this extra element that every time there is a police contact you get an extra point. so in some ways they've created an almost self-fulfilling prophecy for the people because police are directed to go find the people with the most points then they go find the person w

acting on your racial bias and not realizing it is called implicit bias.a threat or criminal and not giving that person the benefit of the doubt as a human who likes to barbecue. and might have some extra if you're friendly. >> a lot of the research out there is focused on sort of racial attitudes and ask people in surveys are you racist? and people basically say no. >> 100% of people aren't racist. >> right. >> so i'm having one last black people meeting with university of wisconsin professor john diamond, an expert on the subject. i was not familiar with the term implicit bias until about four years ago. something happened to me and it was referred to implicit bias. i called it racism. >> yeah, so tony greenwall established project implicit about 20 years ago so what they were trying to figure out is what is going on in people's minds before they are able to think about what is the socially responsible answer. right? the way to think about implicit bias is you don't have to necessarily dislike people of other races to be affected by it. right? it's in ev

condition sort of bias doesn't only so there's bias which comes in later as we begin to create programs that serve the function of pattern recognition and so forth this is where we have biases but we already have biases implicit in the data ok so a threat to democracy. and palmer i'd like to hear your response to an extension of an existing democratic system which is unjust and systematically racist that's what we would be creating but the answer is to bring it out there to democratize the west one of the many artists one of the many questions in terms of the ai software itself we need to make that more simple to everybody so that it's not in the hands of just a few people i believe that there's an even more fundamental problem which is that human beings ourselves a very similar to a i i don't i think it's a threat to democracy the way we think because garbage in garbage out is what we say about ai and human beings are no different and therefore one trick question liberal democracy itself and look for alternatives and which is something we absolutely don't do so coming from india from a

and he says there is obvious bias at play at google.ong with federal prosecutor, doug burns. what happened? you came on the show. you said some thing. then they said good-bye? >> they held me in front of a kangaroo court. they asked me random questions. i'm trying to get my bearings. they just asked me a bunch of questions. one of the weird things about it. one of the people i criticized. this person was also helping to conduct the investigation of me. it was an obvious conflict of interest. trish: they had an investigation into you. we know google execs testifying to congress that they are fair and not biased. we received a statement from google about your being dismissed. they say and i quote that the individual received a final written warning in march following verbal warnings related to a pattern of threatening communications to co-workers and managers. the behavior have continued. so we have taken action. like all workplaces we have basic rules of the standard of behavior we expect at work. when they talk about standards of behavi

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

calcifies or embodies the bias in the police. by there for a really good summation amount really going to bear really. yeah let's go to. 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 think it 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 restorat

calcifies or embodies the bias in the policing. by there for a really good summation and really going to be there. 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 think it 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 rest

the how much bias are you willing to put up with?ou fired strzok but hired a bunch of prosecutors that felt the same way. number two, somebody needs to ask about this legal issue, if you can resist an unlawful arrest. can you resist and on predicated investigation? which forces us two to go to the origins of this russia investigation, and how much time did he spend cycling through that? then i would go to what did you find? no collusion, no criminal collusion, despite two years. what did you not find? an indictable offense for obstruction of justice. and this is a category -- i would encourage you devin and jimmy to think about this -- what did you not bother to look for? just got through talking about something on the power and other people in the american government that may have wanted to influence either an election or the administration. we spent two years focused on whether a foreign country was going to influence or interfere with our election. mueller, did you look at our own government? did you look at what our own people we

the problem was data and bias engineers who were mostly white males trained algorithms with the 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 of knowledge for example we have have trying to sell 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 t

if you were worried about bias, you would be worried about that. miss wright how she felt about that suit and whether it would affect her? >> she was asked and when she was asked what she said was she had paid the debt and she had no ill will toward the parties. and indeed, if we follow up on this reason, this reason is especially suspicious. he cited the same reason with respect to edith burnside. falseed, he repeated the statements that her wages have been garnished yet -- garnished. and then he said that he was striking her in part on that basis. but ms. burnside -- >> could you go back for a second, you said to justice alito that the record, the state record that says something about garnishment, that the state board found that was not adequate. could you ask when why not question mark the judgment in the record. it is a form in the record. >> the form in the record reflects a suit and there is a check by garnishment. if you look at the order of the end there is no irishman order. the trial court looked at that and the mississippi supreme court

if you were worried about bias, you would be worried about that. miss wright how she felt about that suit and whether it would affect her? >> she was asked and when she was asked what she said was she had paid the debt and she had no ill will toward the parties. and indeed, if we follow up on this reason, this reason is especially suspicious. he cited the same reason with respect to edith burnside. falseed, he repeated the statements that her wages have been garnished yet -- garnished. and then he said that he was striking her in part on that basis. but ms. burnside -- >> could you go back for a second, you said to justice alito that the record, the state record that says something about garnishment, that the state board found that was not adequate. could you ask when why not question mark the judgment in the record. it is a form in the record. >> the form in the record reflects a suit and there is a check by garnishment. if you look at the order of the end there is no irishman order. the trial court looked at that and the mississippi supreme court

harper implicit or explicit bias. my first question is from ms. nelson if they are disproportionately it would follow that they are also subjected to a disproportionate number of invasive pat downs. how do they affect the process given the context and history of policing of african-americans. >> thank you for that question. it's a disproportionate number of pet sounds and a secondary screening processes reinforces the stereotype that african americans and african american women in particular are connected with the individuals over potentially dangerous, it is a public viewing of the selected process and many accounts by african-american women described being deeply humiliated and delayed in their travel. there's an additional burdethern and cost to them personally and professionally being subjected to the process and procedures, and again i underscore that we have yet to receive any indication that this is in fact improving our national security. >> building upon that answer, according to the statistics african-americ

bias. the unusual move to keep bias out of the district attorney's office. how technology and stanford played a role. >>> plus, shocking video. a baby thrown to the ground. that baby is okay. we'll till. we'll talk ♪ ♪ this is how driving should feel. the tech-advanced nissan leaf. the best selling electric vehicle of all time. this is nissan intelligent mobility. ♪ >>> these are the stories making headlines. it is official. kevin durant was injured in game five. he said he's undergone surgery. he added he appreciates all the support he's received and reiterated that he played monday because he wanted to help his teammates during the finals. abc news reporter wayne freedman was there. win or lose, tomorrow will be the last game at oracle tomorrow. relief from the heat? it is 10 to 20 degrees cooler in some parts of the bay area. >>> san francisco district attorney george introduced a new program to have complicit bias in charging decisions. it is a computer program removes race from the evi

their bias-related incident definition.bias-motivated incidents are actions or expressions motivated in part by hostility toward a person or group because of that person or group's actual or perceived and they go through the criteria, sexual orientation and all of it. brian, why is that a bad thing? >> well, first of all, we have so many universities across the country that can't get their housekeeping together such as preventing sexual assaults on campus, college admissions scandals, fraternities out of control with drinking and deaths resulting from that and we have organizations set up and infrastructure set up to prohibit students from free speech? this is absolutely crazy. when is the last time somebody, for example, posted a comment about wanting to -- an example. a group wanted to build that wall on campus, right? they just wanted to build blocks and talk about immigration. that's an example that was prohibited on campus at the university of illinois. and that is done solely to advance a political agenda on campus. t

and sometimes we describe this as selection bias meets confirmation bias and they live happily ever afterthe idea that we use historical data to train machines and algorithm to predict into the future is very important so for example if you live in a community that has historically been over policed you are more likely to have your algorithms point right back to those communities that have been over policed if you have people who have been over arrested like african-americans and latinos and degenerates people then your ai is going to point to those people once you feed that data and say ok i see there's more crime here let me go find some more. well guess what you're going to find if you go look for more crime you are going to find more crime where you look for it and not where you don't look for it. but then they added in this extra element that every time there is a police contact you get an extra point. so in some ways they've created an almost self-fulfilling prophecy for the people because police are directed to go find the people with the most points then they go find the person wh

if you can't see something confirmation bias can't kick in so we're in a world right now in which our opinions beliefs attitudes voting preferences purchases are all being pushed one way or another every single day by forces that we can. not seeing. the real problem of manipulation of news and information is secret it's what google and facebook are doing on a regular basis by suppressing stories by steering us towards other stories rather than the stories we're actually seeking and that's the real manipulation that's going on tracon use is the shiny object they want us to shape there really isn't relevant to the problems we're facing today we use google so extensively in the average person does you know multiple query spread day and some more than others and over time you realize that it's impacting you and we already know that people are not necessarily fact checking on their out and they they rely on the media companies they rely on the media they rely on companies like google to give them answers about the world without necessarily looking at is that true facebook has become the nu

we also have the challenge of confirmation bias. which is whatever it is i believe i will sort the incoming information to confirm that which i already believe. so, for example, we know from research if you have a nonanglo name, you're going have to send out 50% more resumes to get the same response to someone with an anglo name. we also know that if you send the same resume out with the female name and male name, you get different responses for that. we also know that dominant groups are assumed to be competent until they show they're incompetent and nondominant groups are assumed to be incompetent until they prove they're competent. question know these things. we also have the elephant and mouse theory about things which is if you're the elephant in the room, what do you need to know about the mouse? not much. if you're the mouse in the room, what do you need to know about the elephant? everything. so by and large, dominant groups are not necessarily as in tune with nondominant groups. we also know that like gravitates to like. an

truck to make sure the people in jail are not there because of racial bias. the san francisco district attorney will have a new system. when a person is arrested on suspicion of committing a crime, the district attorney will not see the full police report. instead they will get a version of the report without the offender's race, name, location, and other potential identifiers of the race. >> we can take a look and make an initial decision based on the facts. without any attention being paid to a person's race. troke the district and he will make an initial decision, after that they will get the entire file. at that point, if they want to change their charging decision they have to explain why >> we would make a charging decision that is bias free when it comes to race, then and only then we would go back and take a look at everything else about the case. >> we think that there's a lot of potential for change and we are happy to see that. >> reporter: local advocates are not convinced that it will be an effort and step in the right direction. truck not every

over two and easing bias. -- over to an easing bias. is not very quick at making the changes. if you look at past inflection points, it takes a little while to communicate that internally, change some of the forecasts, and start communicating it to the markets and acting on it. it takes a number of meetings to get there. the market is way ahead of itself right now. i just checked the bloomberg numbers again this morning for pricing in 80% chance of a rate hike -- rate cut in july, which i think is way too early. i think september is probably the first month where the window opens for a rate cut. i think december is more likely. the fed wants to see an accumulation of evidence that the economy is slowing, and i do not think we are there and -- we are there yet. shery: do we have to pay closer attention that it seems that the efficiency or effectiveness of monetary policy may have been overestimated? this connection to interest rates and inflation does not seem to be happening at the moment. markus: that is true. there are two issues here

very serious political bias in it and their intent to implement that bias in their job let me be clear this employee was recorded without her consent i believe these statements were taken out of context but the statements that i quoted from were full of complete statements that were not heeded so it is concerning when you see somebody who is an executive with google and who are more than one in that video by the way we do not allow anyone lower level our level to manipulate our products in that way in this project very this video which i did watch last night they allege that there are internal google documents which they put on the video and this is what it's sad it may be desirable to consider how we might helps this guy and the eat reach a more and equitable state via project intervention what does that mean every robust set of guidelines to ensure that we're providing relevant trustworthy information we work with a set of readers around the world around the country to make sure that those search trader guidelines are followed those are transparent and available for you to read on th

so-called bias investigators killing the first amendment at campus, night court convenes next. the jury. >> president trump: the guys of speech codes and safe spaces and trigger warnings, these >> under the guise of speech codes and save spaces and trigger warnings these universities have tried to restrict free thought, impose total conformity and shutdown the voices of great young americans like those here today. all of that changes starting right now. shannon: time for night court, the president's executive order on campus free-speech earlier this year. a conservative nonprofit group is suing the university of illinois over the bias response team, speech first is representing four anonymous students claiming the school is suppressing political advocacy and intimidating students into silence. the school so that is trying to protect everyone on campus. let's discuss with the legal eagles, constitutional law attorney jenna ellis read, great to have you with us. i start with exhibit a, this comes from bias related incident definition, this is what they are about. bias motivated i

who harbor explicit bias. having said that my first question is for ms. nelson. is screening machines disproportionately on black women t. would follow that black women are also subjected to a disproportionate number of invasive patdowns. how does t.s.a. patdown affect affect african-american passengers given the context and history of policing of african-americans? ms. nelson: thank you for that question. the disproportionate number of patdowns and secondarier screening processes re-- secondary screening processes reinforces the stereotypes that african-americans and african-american women in particular being connected to suspicious individuals or potentially dangerous. it is a public viewing of that selective process. and many accounts by african-american women describe being deeply humiliated. being delayed in their travel. there is an additional burden and cost to them personally and professionally, often, in traveling and being subjected to these processes and procedures. and again i underscore that we ha

is there evidence of systemic conservative bias? >> i will readily concede that we are arguing by anecdote and for anyone making public policy argument by anecdote is very unsatisfying. it's not the way to do it but there's a reason why. nobody has the data other than these companies. for example when i put the mother teresa quote, and a whole bunch of examples of pro-life quotes that were put out the twitter suppressed and i said have you ever suppressed anyone on the other side of the debate? have you ever suppressed anyone sending a pro-choice tweet? they wouldn't give an answer. blackburn. her announcement video. i said have you ever suppressed any democratic candidates? announcement videos? they won't answer that. nobody knows. so when zuckerberg testified, i sent about 640 written questions . a whole bunch of laws from associates tilt a ton of hours coming out of that but i asked all sorts of questions. i asked for example in 2016 how many posts from republican officeholders did you block? how many posts from democratic holder

there is no room whatsoever for anti-israel bias or anti-semitism. you know, with the strength of this committee, i am certain that we can defeat any areas, whether it's the human rights council in bringing up anti-israel bias, every opportunity they have or anyplace in the u.n., there is no place for that. i think we need to really stress to israel and promote them. they are the best promoters themselves. you know, they are a startup nation. they need to be promoted to push themselves and normalize within the u.n. system, because they have a lot to offer. senator portman: well, look forward to working with you if you are confirmed and i believe will you. i know senator cardin and i would look forward to move with that legislation soon and ensure we don't have that black list ever be published because it would then, as you say, have a negative impact on a lot of things, including the peace process, in my view, between israel and the palestinians. on human trafficking, i know you have been involved on this issue and care a lot about it. there is the c

>> there's a difference between bias and perceived bias and something that's fake news. and people are very -- people get where the biases lie. you know what you get to go to msnbc and you know what you're going to get to come to fox. >> cnn calls itself the most trusted name in news, ari fleischer tweeted this the other day, 25% of the house democrats are in favor of impeachment. he said i watched it, i would say the commentators on that network, 80% of them. this goes to the notion that people are being lied to by whether you're on television or working at a newspaper. >> the difference between -- so when you go to cable news, for example, and you're watching people debate. there's that. but then the nightly news which for generations people believed was totally straight down the center and has been revealed to have bias the way any human being is engaged is going to have an opinion one way or the other. at the networks, they pretended it wasn't the case. viewers have woken up to that. >> we don't have the time, i want to think of any news articles that have been wrong

,e that bias predated their leaving the government.t was certainly there when they were over the agencies that were so important that were targeted the american citizens. >> dan: congressman gaetz on the point you made about kolimnik, this is disturbing. we find out that there were sins of omission here. mueller i don't want to leave weissman out of this. andy weissman, his fingerprints are all over this. you brought up the fact that they damn manafort in the report for the discussions and whether they are appropriate or not is up to you to decide. he wasn't charged for the conversations, but kolimnick was a source for the state department for the obama administration. we find out this week, as well, that one of mueller's confidential informants in the case, allegation, of course, but apparently was arrested for the child pornography of all things. this was mueller's source? this is getting uglier by the minute. >> this continues to trend if there are reports that are nott damaging to the president then they try to keep that aspect awa

look at it shows that there's a clear bias now the format of letting candidates just jump in at will certainly made for a rowdy evening one candidate says that he was treated unfairly andrew yeah right is that the talking. as i mean there in my life is the. yeah this is the thing where he does all the user talking well you know all the sudden the disease of the number is i was i being like others out there. now the candidate who seemed to disappoint almost everyone was the so-called perfect centrist joe biden he didn't live up to his fighting joe reputation and that taking blows from almost everyone without much of a comeback do you agree today that you were wrong to oppose busing and america do you agree i was 6 years old when a presidential candidate came to the california democratic convention and said it's time to pass the torch to a new generation of americans back and it was then senator joe biden deal that he talked about with mitch mcconnell who is a complete victory for the tea party it extended the bush tax cuts. now despite the smoke and mirrors and t.v. lights the audienc

and sometimes we describe this as selection bias meets confirmation bias and they live happily ever after the idea that we use historical data to train machines and algorithm to predict into the future is very important so for example if you live in a community that has historically been over policed you are more likely to have your algorithms point right back to those communities that have been over policed if you have people who have been over arrested like african-americans and latinos and degenerates people then your ai is going to point to those people once you feed that data and say ok i see there's more crime here let me go find some more. well guess what you're going to find if you go look for more crime you are going to find more crime where you look for it and not where you don't look for it. but then they added in this extra element that every time there is a police contact you get an extra point. so in some ways they've created an almost self-fulfilling prophecy for the people because police are directed to go find the people with the most points then they go find the person w

and sometimes we describe this as selection bias meets confirmation bias and they live happily ever after the idea that we use historical data to train machines and algorithm to predict into the future is very important so for example if you live in a community that has historically been over policed you are more likely to have your algorithms point right back to those communities that have been over policed if you have people who have been over arrested like african-americans and latinos and degenerates people then your ai is going to point to those people once you feed that data and say ok i see there's more crime here let me go find some more. well guess what you're going to find if you go look for more crime you are going to find more crime where you look for it and not where you don't look for it. but then they added in this extra element that every time there's a police contact you get an extra point. so in some ways they've created an almost self-fulfilling prophecy for the people because police are directed to go find the people with the most points then they go find the person wh

got less time than other candidates and even got attacked by a moderator she says that it's clear bias you were the only one who was essentially attacked personally by the moderators what do you think that was. look at shows that there's a clear bias now the format of letting candidates just jump in at will certainly made for a rowdy evening one candidate says that he was treated unfairly andrew yang ready to start talking do you think a lot of jessamy there in my life is going. to you know the sort of thing where he does all the user talking well you know most of the deeds of the number is i goes on being like the others out there right. now the candidate who seemed to disappoint almost everyone was the so-called perfect centrist joe biden he didn't live up to his fighting joe reputation and that taking blows from almost everyone without much of a comeback do you agree today that you were wrong to oppose bussing in america do you agree i was 6 years old when a presidential candidate came to the california democratic convention and said it's time to pass the torch to a new generation o

bias, -- but when you are training things like bias, you really want to know about that training data. at the same time, you may not want the cia to have that data. we simultaneously don't actually want that information, but need to know things about that information because we need to account for bias, certainly for privacy and civil liberties, but also for the rest of the mission. if we get something significantly wrong, that is a mission problem. that could be a threat to our own officers and what they are doing. those are really fun topics. what i am looking to do and my officers are looking to do is, as we think about those, not develop this in terms of, here ethicalt to 12 principles to look fabulous on the wall, like the 10 commandments, but instead from a practical standpoint, what is the framework you will use when you have a new project? what are you asking yourself to say, if i am going to deliver this analytic for mission use, it is not done yet until i have done these things. one of the questions for the people who manage the data scientists, what do they need to ask and