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Rise of the racist robots â how AI is learning all our worst impulses
âIf youâre not careful, you risk automating the exact same biases these programs are supposed to eliminate,â says Kristian Lum, the lead statistician at the San Francisco-based, non-profit Human Rights Data Analysis Group (HRDAG). Last year, Lum and a co-author showed that PredPol, a program for police departments that predicts hotspots where future crime might occur, could potentially get stuck in a feedback loop of over-policing majority black and brown neighbourhoods. The program was âlearningâ from previous crime reports. For Samuel Sinyangwe, a justice activist and policy researcher, this kind of approach is âespecially nefariousâ because police can say: âWeâre not being biased, weâre just doing what the math tells us.â And the public perception might be that the algorithms are impartial.
Reflections: The G in HRDAG is the Real Fuel
Palantir Has Secretly Been Using New Orleans to Test Its Predictive Policing Technology
One of the researchers, a Michigan State PhD candidate named William Isaac, had not previously heard of New Orleansâ partnership with Palantir, but he recognized the data-mapping model at the heart of the program. âI think the data theyâre using, there are serious questions about its predictive power. Weâve seen very little about its ability to forecast violent crime,â Isaac said.
The Data Scientist Helping to Create Ethical Robots
Kristian Lum is focusing on artificial intelligence and the controversial use of predictive policing and sentencing programs.
Whatâs the relationship between statistics and AI and machine learning?
AI seems to be a sort of catchall for predictive modeling and computer modeling. There was this great tweet that said something like, âItâs AI when youâre trying to raise money, ML when youâre trying to hire developers, and statistics when youâre actually doing it.â I thought that was pretty accurate.
What HBR Gets Wrong About Algorithms and Bias
“Kristian Lum… organized a workshop together with Elizabeth Bender, a staff attorney for the NY Legal Aid Society and former public defender, and Terrence Wilkerson, an innocent man who had been arrested and could not afford bail. Together, they shared first hand experience about the obstacles and inefficiencies that occur in the legal system, providing valuable context to the debate around COMPAS.”
Cifra de lĂderes sociales asesinados es mĂĄs alta: Dejusticia
Contrario a lo que se puede pensar, los datos oficiales sobre lĂderes sociales asesinados no necesariamente corresponden a la realidad y podrĂa haber mucha mayor victimizaciĂłn en las regiones golpeadas por este flagelo, segĂșn el mĂĄs reciente informe del Centro de Estudios de Justicia, Derecho y Sociedad (Dejusticia) en colaboraciĂłn con el Human Rights Data Analysis Group.
Los asesinatos de lĂderes sociales que quedan fuera de las cuentas
Una investigaciĂłn de Dejusticia y Human Rights Data Analysis Group concluyĂł que hay un subconteo en los asesinatos de lĂderes sociales en Colombia. Es decir, que el aumento de estos crĂmenes en 2016 y 2017 podrĂa ser incluso mayor al reportado por las organizaciones y por las cifras oficiales.
El problema del asesinato a lĂderes es mĂĄs grave de lo que se piensa
Una investigaciĂłn de Dejusticia y Human Rights Data Analysis Group  asegura que en Colombia hay un subregistro de los asesinatos de lĂderes sociales que se han perpetrado en Colombia. Al analizar las diferentes cifras de homicidios que han publicado diversas organizaciones desde 2016, se llegĂł a la conclusiĂłn que la problemĂĄtica es mayor de lo que se cree.
Using Statistics to Assess Lethal Violence in Civil and Inter-State War
Patrick Ball and Megan Price (2019). Using Statistics to Assess Lethal Violence in Civil and Inter-State War. Annual Review of Statistics and Its Application. 7 March 2019. © 2019 Annual Reviews. All rights reserved. https://doi.org/10.1146/annurev-statistics-030718-105222.
500 Tamils forcibly disappeared in three days, after surrendering to army in 2009
A new study has estimated that over 500 Tamils were forcibly disappeared in just three days, after surrendering to the Sri Lankan army in May 2009.
The study, carried out by the Human Rights Data Analysis Group and the International Truth and Justice Project, based on compiled lists which identify those who were known to have surrendered, estimated that 503 people had been forcibly disappeared between the 17th– 19th of May 2009.
500 Tamils disappeared in Army custody â New Study
The Sri Lankan army must explain to the families of the disappeared and missing what happened to an estimated 500 Tamils who disappeared in their custody at the war end on/around 18 May 2009, said two international NGOs who have been collating and analysing lists of names.
Sri Lanka has one of the largest numbers in the world of enforced disappearances but these 500 represent the largest number of disappearances all in one place and time in the country. For a detailed account of the process of estimating the 500 please see: âHow many people disappeared on 17-19 May 2009 in Sri Lanka?â .
Pretrial Risk Assessment Tools
Sarah L. Desmarais and Evan M. Lowder (2019). Pretrial Risk Assessment Tools: A Primer for Judges, Prosecutors, and Defense Attorneys. Safety and Justice Challenge, February 2019. © 2019 Safety and Justice Challenge. <<HRDAG’s Kristian Lum and Tarak Shah served as Project Members and made significant contributions to the primer.>>
Syrian civil war death toll exceeds 190,000, U.N. reports
Ayan Sheikh of PBS News Hour reports on the UN Office of the High Commissioner of Human Rightâs release of HRDAGâs third report on reported killings in the Syrian conflict.
From the article:
The latest death toll figure covers the period from March 2011 to April of this year, came from the Human Rights Data Analysis Group and is the third study of its kind on Syria. The analysis group identified 191,269 deaths. Data was collected from five different sources to exclude inaccuracies and repetitions.
‘Bias deep inside the code’: the problem with AI ‘ethics’ in Silicon Valley
Kristian Lum, the lead statistician at the Human Rights Data Analysis Group, and an expert on algorithmic bias, said she hoped Stanfordâs stumble made the institution think more deeply about representation.
âThis type of oversight makes me worried that their stated commitment to the other important values and goals â like taking seriously creating AI to serve the âcollective needs of humanityâ â is also empty PR spin and this will be nothing more than a vanity project for those attached to it,â she wrote in an email.
The Untold Dead of Rodrigo Duterte’s Philippines Drug War
From the article: “Based on Ballâs calculations, using our data, nearly 3,000 people could have been killed in the three areas we analyzed in the first 18 months of the drug war. That is more than three times the official police count.”
Counting The Dead: How Statistics Can Find Unreported Killings
Ball analyzed the data reporters had collected from a variety of sources â including on-the-ground interviews, police records, and human rights groups â and used a statistical technique called multiple systems estimation to roughly calculate the number of unreported deaths in three areas of the capital city Manila.
The team discovered that the number of drug-related killings was much higher than police had reported. The journalists, who published their findings last month in The Atlantic, documented 2,320 drug-linked killings over an 18-month period, approximately 1,400 more than the official number. Ballâs statistical analysis, which estimated the number of killings the reporters hadnât heard about, found that close to 3,000 people could have been killed â more than three times the police figure.
Ball said there are both moral and technical reasons for making sure everyone who has been killed in mass violence is counted.
âThe moral reason is because everyone who has been murdered should be remembered,â he said. âA terrible thing happened to them and we have an obligation as a society to justice and to dignity to remember them.â
How many people are infected with Covid-19?
Tarak Shah (2020). How many people are infected with Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.
How do epidemiologists know how many people will get Covid-19?
Patrick Ball (2020). How do epidemiologists know how many people will get Covid-19? Significance. 09 April 2020. © 2020 The Royal Statistical Society.