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Quantifying Injustice

“In 2016, two researchers, the statistician Kristian Lum and the political scientist William Isaac, set out to measure the bias in predictive policing algorithms. They chose as their example a program called PredPol.  … Lum and Isaac faced a conundrum: if official data on crimes is biased, how can you test a crime prediction model? To solve this technique, they turned to a technique used in statistics and machine learning called the synthetic population.”


Want to know a police officer’s job history? There’s a new tool

NPR Illinois has covered the new National Police Index, created by HRDAG’s Tarak Shah, Ayyub Ibrahim of Innocence Project, and Sam Stecklow of Invisible Institute.


The True Dangers of AI are Closer Than We Think

William Isaac is quoted.


‘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 Stanford’s stumble made the institution think more deeply about representation.

“This type of oversight makes me worried that their stated commitment to the other important values and goals – like taking seriously creating AI to serve the ‘collective needs of humanity’ – is also empty PR spin and this will be nothing more than a vanity project for those attached to it,” she wrote in an email.


Can We Harness AI To Fulfill The Promise Of Universal Human Rights?

The Human Rights Data Analysis Group employs AI to analyze data from conflict zones, identifying patterns of human rights abuses that might be overlooked. This assists international organizations in holding perpetrators accountable.


Introducing Structural Zero: a New Monthly Newsletter

A monthly newsletter exploring how math and science help us understand the world. Hi, I’m Patrick Ball. I’m a statistician, which is a type of scientist that uses mathematical analysis to try to figure out what we do and don’t know about data sets. I’m also a human rights advocate; I work with groups all over the world to help survivors in post-conflict countries understand what really happened and bring justice and accountability. It’s incredible work, and I feel grateful to do it. I want to invite you to check out a new newsletter, Structural Zero. It’s written by me and my colleagues Megan Price, Bailey Passmore, Tarak Shah, and ...

How Data Extraction Illuminates Racial Disparities in Boston SWAT Raids

Boston Police deployed SWAT teams disproportionately to Black neighborhoods, sometimes raiding homes with young children. HRDAG extracted data revealing just how disproportionate.

100 Women in AI Ethics

We live in very challenging times. The pervasiveness of bias in AI algorithms and autonomous “killer” robots looming on the horizon, all necessitate an open discussion and immediate action to address the perils of unchecked AI. The decisions we make today will determine the fate of future generations. Please follow these amazing women and support their work so we can make faster meaningful progress towards a world with safe, beneficial AI that will help and not hurt the future of humanity.

53. Kristian Lum @kldivergence


Publications

From time to time, we issue our own scientific reports that focus on the statistical aspects of the data analysis we have done in support of our partners. These reports are non-partisan, and they leave the work of advocacy to our partners. You can search our publications by keyword or by year.

How Machine Learning Protects Whistle-Blowers in Staten Island

People filed complaints against NYPD officers, and HRDAG went above and beyond to protect the privacy of the people who reported the offenses.

Trove to IPFS

IPFS is a peer-to-peer storage network that promotes the resiliency, immutability, and auditability of data. This README explains code written to shepherd the files from janky external USB drives to IPFS.

Syria’s status, the migrant crisis and talking to ISIS

In this week’s “Top Picks,” IRIN interviews HRDAG executive director Patrick Ball about giant data sets and whether we can trust them. “No matter how big it is, data on violence is always partial,” he says.


In Solidarity

We stand with our partners and every organizer fighting for justice.

Tech Note – improving LLM-driven info extraction

A follow-up chapter exploring recent advancements in LLM technology and extraction strategies.

¿Quién le hizo qué a quién? Planear e implementar un proyecto a gran escala de información en derechos humanos.


Asia

Bangladesh India Sri Lanka Timor-Leste

Projects

We work around the world Here’s more information about How We Choose Projects.    

Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems.”

Gary M. Shapiro, Daniel R. Guzmán, Paul Zador, Tamy Guberek, Megan E. Price, Kristian Lum (2009).“Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems.”In JSM Proceedings, Survey Research Methods Section. Alexandria, VA: American Statistical Association.


IN THE FACE OF TYRANNY Taking a Stand as Data Scientists As human rights data analysts, we center our moral understanding on the values of the Universal Declaration of Human Rights. We believe that "recognition of the inherent dignity and of the equal and inalienable rights of all members of the human family is the foundation of freedom, justice and peace in the world," as the Declaration's preamble states. This is our guide, and these are our values. For thirty-five years, this has meant using our skills as statisticians and programmers to help other people in their campaigns for truth and justice. When a doctor sees a sick or injured person, they ...

El problema del asesinato a líderes es más grave de lo que se piensa

Una investigación de Dejusticia y Human Rights Data Analysis Group  asegura que en Colombia hay un subregistro de los asesinatos de líderes sociales que se han perpetrado en Colombia. Al analizar las diferentes cifras de homicidios que han publicado diversas organizaciones desde 2016, se llegó a la conclusión que la problemática es mayor de lo que se cree.


Our work has been used by truth commissions, international criminal tribunals, and non-governmental human rights organizations. We have worked with partners on projects on five continents.

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