Wie technologie enkel als vooruitgang ziet, vergeet een groep Nederlanders voor wie dat niet geldt. Dat zijn niet alleen mensen op leeftijd, zegt Aaron Mirck, maar ook slachtoffers van slimme algoritmes die de overheid gebruikt. Technologie is niet neutraal, betoogt hij.
By Aaron Mirck for Het Parool on May 27, 2023
An artist considers a new form of machinic representation: the statistical rendering of large datasets, indexed to the probable rather than the real of photography; to the uncanny composite rather than the abstraction of the graph.
By Hito Steyerl for New Left Review on April 28, 2023
Lab will advance assessments of AI systems in the public interest.
From Data & Society on May 10, 2023
Whistleblower reveals Netherlands’ use of secret and potentially illegal algorithm to score visa applicants.
By Ariadne Papagapitos, Carola Houtekamer, Crofton Black, Daniel Howden, Gabriel Geiger, Klaas van Dijken, Merijn Rengers and Nalinee Maleeyakul for Lighthouse Reports on April 24, 2023
Algoritmen: Steeds zijn het gemarginaliseerde groepen die vaker dan anderen worden geraakt door digitalisering, schrijven Evelyn Austin en Nadia Benaissa.
By Evely Austin and Nadia Benaissa for NRC on May 5, 2023
Visumbeleid: De papiermolen rond visumaanvragen detacheert Buitenlandse Zaken zo veel mogelijk naar buitenlandse bedrijven. Maar het risico op ongelijke behandeling door profilering van aanvragers blijft bestaan. Kritiek daarover van de interne privacy-toezichthouder, werd door het ministerie in de wind geslagen.
By Carola Houtekamer, Merijn Rengers and Nalinee Maleeyakul for NRC on April 23, 2023
A report validated Palestinian experiences of social media censorship in May 2021, but missed how those policies are biased by design.
By Marwa Fatafta for +972 Magazine on October 9, 2022
Evelyn dook deze week in de (allesbehalve mannelijke) wereld van glitch art, hebben we het over het algoritme dat jarenlang door de Gemeente Rotterdam is gebruikt om te voorspellen wie van de bijstandsgerechtigden zou kunnen knoeien met hun uitkering en bellen we in met podcast-kopstuk Lieven Heeremans.
By Evely Austin, Inge Wannet, Joran van Apeldoorn, Lieven Heeremans and Nadia Benaissa for Bits of Freedom on April 15, 2023
Ignoring earlier Dutch failures in automated decision making, and ignoring advice from its own experts, the Dutch ministry of Foreign Affairs has decided to cut costs and cut corners through implementing a discriminatory profiling system to process visa applications.
Continue reading “Racist Technology in Action: You look similar to someone we didn’t like → Dutch visa denied”
In this piece on Medium, Jenka Gurfinkel writes about a Reddit user who has asked Midjourney, a generative AI to do the following:
Continue reading “How AIs collapse our history and culture into a monolithic perspective”Imagine a time traveler journeyed to various times and places throughout human history and showed soldiers and warriors of the periods what a “selfie” is.
In an interview with Zoë Corbyn in the Guardian, data journalist and Associate Professor of Journalism, Meredith Broussard discusses her new book More Than a Glitch: Confronting Race, Gender and Ability Bias in Tech.
Continue reading “More data will not solve bias in algorithmic systems: it’s a systemic issue, not a ‘glitch’”
In another investigation by The Markup, significant racial disparities were found in the assessment system used by the Los Angeles Homeless Services Authority (LAHSA), the body responsible for coordinating homelessness services in Los Angeles. This assessment system is reliant on a tool, called the Vulnerability Index-Service Prioritisation Decision Assistance Tool, or VI-SPDAT, to score and assess whether people can qualify for subsidised permanent housing.
Continue reading “Racist Technology in Action: Racial disparities in the scoring system used for housing allocation in L.A.”
Er moet onderzoek komen naar discriminatie van moslims door financiële instellingen, stelt de Nationaal Coördinator tegen Discriminatie en Racisme Rabin Baldewsingh. Hij waarschuwt voor een nieuw toeslagenschandaal.
By Rabin Baldewsingh and Somajeh Ghaeminia for Trouw on April 6, 2023
Mandatory face-recognition tools have repeatedly failed to identify people with darker skin tones. One Dutch student is fighting to end their use.
By Morgan Meaker and Robin Pocornie for WIRED on April 5, 2023
The journalist and academic says the bias encoded in artificial intelligence systems can’t be fixed with better data alone – the change has to be societal.
By Meredith Broussard and Zoë Corbyn for The Guardian on March 26, 2023
Hoe dragen algoritmen bij aan racisme? En wat zijn de gevolgen? Die vragen kwamen aan bod tijdens een paneldiscussie woensdagmiddag op Science Park. ‘We moeten een “safe space” creëren waarin bedrijven transparant durven te zijn zonder gelijk afgestraft te worden.’
By Sija van den Beukel for Folia on March 16, 2023
You are not a parrot. And a chatbot is not a human. And a linguist named Emily M. Bender is very worried what will happen when we forget this.
By Elizabeth Weil and Emily M. Bender for New York Magazine on March 1, 2023
The current wave of reporting on the AI-bubble has one advantage: it also creates a bit of space in the media to write about how AI reflects the existing inequities in our society.
Continue reading “Work related to the Racism and Technology Center is getting media attention”
As part of a series of investigative reporting by Lighthouse Reports and WIRED, Gabriel Geiger has revealed some of the findings about the use of welfare fraud algorithms in Denmark. This comes in the trajectory of the increasing use of algorithmic systems to detect welfare fraud across European cities, or at least systems which are currently known.
Continue reading “Denmark’s welfare fraud system reflects a deeply racist and exclusionary society”
The algorithm that the city of Rotterdam used to predict the risk of welfare fraud fell into the hands of journalists. Turns out that the system was biased against marginalised groups like young mothers and people who don’t have Dutch as their first language.
Continue reading “Racist Technology in Action: Rotterdam’s welfare fraud prediction algorithm was biased”
An investigation by The Markup found racial disparities in L.A.’s intake system for unhoused people.
By Colin Lecher and Maddy Varner for The Markup on February 28, 2023
Een algoritme waarmee de gemeente Rotterdam jarenlang bijstandsfraude voorspelde, rekende jonge moeders en mensen die slecht Nederlands spreken tot de hoogste risicogroepen. Zij hadden de grootste kans op een strenge controle door de gemeente. Dat blijkt uit onderzoek van Lighthouse Reports, Argos, Vers Beton en Follow the Money, waarbij journalisten voor het eerst een compleet fraudealgoritme in handen kregen.
By David Davidson and Tom Claessens for Follow the Money on March 6, 2023
Obscure government algorithms are making life-changing decisions about millions of people around the world. Here, for the first time, we reveal how one of these systems works.
By Dhruv Mehrotra, Eva Constantaras, Gabriel Geiger, Htet Aung and Justin-Casimir Braun for WIRED on March 6, 2023
Mass profiling system SyRI resurfaces in the Netherlands despite ban and landmark court ruling.
By Allart van der Woude, Daniel Howden, David Davidson, Evaline Schot, Gabriel Geiger, Judith Konijn, Ludo Hekman, Marc Hijink, May Bulman and Saskia Adriaens for Lighthouse Reports on December 20, 2022
Word embeddings are a popular machine-learning method that represents each English word by a vector, such that the geometry between these vectors captures semantic relations between the corresponding words. We demonstrate that word embeddings can be used as a powerful tool to quantify historical trends and social change. As specific applications, we develop metrics based on word embeddings to characterize how gender stereotypes and attitudes toward ethnic minorities in the United States evolved during the 20th and 21st centuries starting from 1910. Our framework opens up a fruitful intersection between machine learning and quantitative social science.
By Dan Jurafsky, James Zou, Londa Schiebinger and Nikhil Garg for PNAS on April 3, 2018
ChatGPT is an implementation of a so-called ‘large language model’. These models are trained on text from the internet at large. This means that these models inherent the bias that exists in our language and in our society. This has an interesting consequence: it suddenly becomes possible to see how bias changes through the times in a quantitative and undeniable way.
Continue reading “Quantifying bias in society with ChatGTP-like tools”
Just upload a selfie in the “AI avatar app” Lensa and it will generate a digital portrait of you. Think, for example, of a slightly more fit or beautiful version of yourself as an astronaut or the lead singer in a band. If you are a man that is. As it turns out, for women, and especially women with Asian heritage, Lensa churns out pornified, sexy and skimpily clothed avatars.
Continue reading “Racist Technology in Action: Let’s make an avatar! Of sexy women and tough men of course”
My avatars were cartoonishly pornified, while my male colleagues got to be astronauts, explorers, and inventors.
By Melissa Heikkilä for MIT Technology Review on December 12, 2022
In the past few years, Black people have been inundated with the ways that technology hates us just as much as white supremacy does (then again, technology is an extension and weapon of white supremacy in many ways).
By Lelia Hampton for Lelia Hampton on December 13, 2020
De overheid voorspelt na het verbod op het ‘sleepnet’ SyRI nog altijd fraude op adressen in sociaal-economisch zwakkere wijken. Argos en Lighthouse Reports deden onderzoek naar de methode, waarbij gemeenten en instanties als Belastingdienst, UWV en politie risicosignalen delen. ‘Dit gaat over een overheid die zoveel van je afweet dat die altijd iets kan vinden.’
By David Davidson and Saskia Adriaens for VPRO on December 20, 2022
Among global movements to reckon with police powers, a new report from UK research group No Tech For Tyrants unveils how police use surveillance technology to abuse power around the world.
From No Tech for Tyrants on November 7, 2022
Diana Sardjoe writes for Fair Trials about how her sons were profiled by the Amsterdam police on the basis of risk models (a form of predictive policing) called ‘Top600’ (for adults) and ‘Top400’ for people aged 12 to 23). Because of this profiling her sons were “continually monitored and harassed by police.”
Continue reading “The devastating consequences of risk based profiling by the Dutch police”
To administer bar exams in 20 different states next week, ExamSoft is using facial recognition and collecting the biometric data of legal professionals.
By Khari Johnson for VentureBeat on September 29, 2020
Er moet een moratorium komen op het gebruik van algoritmes bij risicoprofilering, vindt Samira Rafaela, Europarlementariër van D66.
By Samira Rafaela for Binnenlands Bestuur on October 10, 2022
Je kunt al snel denken dat kunstmatige intelligentie alleen maar iets is om voor op te passen. Een machtig wapen in handen van de overheid of van techbedrijven die zich schuldig maken aan privacyschending, discriminatie of onterechte straffen. Maar we kunnen met algoritmen juist problemen oplossen en werken aan een rechtvaardiger wereld, zegt informaticus Sennay Ghebreab van het Civic AI Lab tegen Kustaw Bessems. Dan moeten we wel de basis een beetje snappen én er meer over te zeggen hebben.
By Kustaw Bessems and Sennay Ghebreab for Volkskrant on September 11, 2022
A Silicon Valley startup offers voice-altering tech to call center workers around the world: ‘Yes, this is wrong … but a lot of things exist in the world’
By Wilfred Chan for The Guardian on August 24, 2022
Understanding causes, recognizing cases, supporting those affected: documents for implementing a workshop.
By Waldemar Kesler for AlgorithmWatch on September 7, 2022
A recent study in robotics has drawn attention from news media such as The Washington Post and VICE. In this study, researchers programmed virtual robots with popular artificial intelligence algorithms. Then, these robots were asked to scan blocks containing pictures of people’s faces and make decisions to put some blocks into a virtual “box” according to an open-ended instruction. In the experiments, researchers quickly found out that these robots repeatedly picked women and people of color to be put in the “box” when they were asked to respond to words such as “criminal”, “homemaker”, and “janitor”. The behaviors of these robots showed that sexist and racist baises coded in AI algorithms have leaked into the field of robotics.
Continue reading “AI-trained robots bring algorithmic biases into robotics”
One of the classic examples of how AI systems can reinforce social injustice is Amazon’s A.I. hiring tool. In 2014, Amazon built an ´A.I. powered´ tool to assess resumes and recommend the top candidates that would go on to be interviewed. However, the tool turned out to be very biased, systematically preferring men over women.
Continue reading “Racist Technology in Action: How hiring tools can be sexist and racist”
During the pandemic, Dutch student Robin Pocornie had to do her exams with a light pointing straight at her face. Her fellow students who were White didn’t have to do that. Her university’s surveillance software discriminated her, and that is why she has filed a complaint (read the full complaint in Dutch) with the Netherlands Institute for Human Rights.
Continue reading “Dutch student files complaint with the Netherlands Institute for Human Rights about the use of racist software by her university”Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.