The Philippines is one of the countries that has more than two million people perform crowdwork, such as data annotation, according to informal government estimates.
Continue reading “Filipino workers in “digital sweatshops” train AI models for the West”
A system funded by the World Bank to assess who is most in need of support, is reported to not only be faulty but also discriminatory and depriving many of their right to social security. In a recent report titled “Automated Neglect: How The World Bank’s Push to Allocate Cash Assistance Using Algorithms Threatens Rights” Human Rights Watch outlines how specifically the system used in Joran should be abandoned.
Continue reading “Racist Technology in Action: The World Bank’s Poverty Targeting Algorithms Deprives People of Social Security”
In this Dutch-language piece for De Groene Amsterdammer, Marieke Rotman offers an accessible introduction of the main voices, both internationally and in the Netherlands, tirelessly fighting against racism and discrimination in AI-systems. Not coincidentally, most of the people doing this labour are women of colour. The piece guides you through their impressive work and leading perspectives on the dynamics of racism and technology.
Continue reading “Women of colour are leading the charge against racist AI”
Black artists have been tinkering with machine learning algorithms in their artistic projects, surfacing many questions about the troubling relationship between AI and race, as reported in the New York Times.
Continue reading “Black artists show how generative AI ignores, distorts, erases and censors their histories and cultures”
Scientific research on the quality of face detection systems keeps finding the same result: no matter how, when, and with which system testing is done, every time it is found that faces of people with a darker skin tone are not detected as well as the faces of people with a lighter skin tone.
Continue reading “Current state of research: Face detection still has problems with darker faces”
When Aura Bogado was playing Pokémon Go in a much Whiter neighbourhood than the one where she lived, she noticed how many more PokéStops were suddenly available. She then crowdsourced locations of these stops and found out, with the Urban Institute think tank, that there were on average 55 PokéStops in majority White neighbourhoods and 19 in neighbourhoods that were majority Black.
Continue reading “Racist Technology in Action: How Pokéman Go inherited existing racial inequities”
DUO is the Dutch organisation for administering student grants. It uses an algorithm to help them decide which students get a home visit to check for fraudulent behaviour. Turns out they basically only check students of colour, and they have no clue why.
Continue reading “Algorithm to help find fraudulent students turns out to be racist”
Many governments are using mass surveillance to support law enforcement for the purposes of safety and security. In France, the French Parliament (and before, the French Senate) have approved the use of automated behavioural video surveillance at the 2024 Paris Olympics. Simply put, France wants to legalise mass surveillance at the national level which can violate many rights, such as the freedom of assembly and association, privacy, and non-discrimination.
Continue reading “France wants to legalise mass surveillance for the Paris Olympics 2024: “Safety” and “security”, for whom?”
In this accessible longread, Meredith Whittaker takes us through complex and contested 19th century histories to connect the birth of modern computing to plantation technologies and industrial labour control.
Continue reading “Connecting the dots between early computing, labour history, and plantations”
Bloomberg’s researchers used Stable Diffusion to gauge the magnitude of biases in generative AI. Through an analysis of more than 5,000 images created by Stable Diffusion, they have found that it takes racial and gender disparities to extremes. The results are worse than those found in the real world.
Continue reading “Racist Technology in Action: Stable Diffusion exacerbates and amplifies racial and gender disparities”
Google wants to “help computers ‘see’ our world”, and one of their ways of battling how current AI and machine learning systems perpetuate biases is to introduce a more inclusive scale of skin tone, the ‘Monk Skin Tone Scale’.
Continue reading “Representing skin tone, or Google’s hubris versus the simplicity of Crayola”
In this eloquent and haunting piece by Hito Steyerl, she weaves the ongoing narratives of the eugenicist history of statistics with its integration into machine learning. She elaborates why the attempts to eliminate bias in facial recognition technology through diversifying datasets obscures the root of the problem: machine learning and automation are fundamentally reliant on extracting and exploiting human labour.
Continue reading “Attempts to eliminate bias through diversifying datasets? A distraction from the root of the problem”
In this short piece for Logic(s), Zainab Aliyu shares part of her artistic research. In only a few paragraphs she is able to craft a connection between Yoruba traditional divination and computation through an exploration of the concept of memory.
Continue reading “Computational memory and coloniality: a chain with 8 bits”
If this title feels like a deja-vu it is because you most likely have, in fact, seen this before (perhaps even in our newsletter). It was back in 2015 that the controversy first arose when Google released image recognition software that kept mislabelling Black people as gorillas (read here and here).
Continue reading “Racist Technology in Action: Image recognition is still not capable of differentiating gorillas from Black people”
In this (rightly) scathing article by Andrea Grimes, she denounces the “AI” hype by tech bros perpetuated by much of the mainstream media coverage on large language models, ChatGPT, and GPT4.
Continue reading “AI hype: Unbearably white and male”
Robin Pocornie’s complaint against the VU for their use of Proctorio, which had trouble detecting her face as a person of colour, is part of larger and international story as an article in Wired shows.
Continue reading “Doing an exam as if “driving at night with a car approaching from the other direction with its headlights on full-beam””
With the high pace development of AI systems, more and more people are trying to grapple with the potential impact of these systems on our societies and daily lives. One often utilized way to make sense of AI is through metaphors, that either help to clarify or horribly muddy the waters.
Continue reading “Metaphors of AI: “Gunpowder of the 21st Century””
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 interview with Felienne Hermans, Professor Computer Science at the Vrije Universiteit Amsterdam, she discusses the sore lack of divesity in the white male-dominated world of programming, the importance of teaching people how to code and, the problematic uses of AI-systems.
Continue reading “What problems are AI-systems even solving? “Apparently, too few people ask that question””
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.”
This collection by the Data & Society Research Institute sheds an intimate and grounded light on what impact AI-systems can have. The guiding question that connects all of the 13 non-fiction pieces in Parables of AI in/from the Majority world: An Anthology is what stories can be told about a world in which solving societal issues is more and more dependent on AI-based and data-driven technologies? The book, edited by Rigoberto Lara Guzmán, Ranjit Singh and Patrick Davison, through narrating ordinary, everyday experiences in the majority world, slowly disentangles the global and unequally distributed impact of digital technologies.
Continue reading “Stories of everyday life with AI in the global majority”
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”
Robin Pocornie was featured in the Dutch current affairs programme EenVandaag. Professor Sennay Ghebreab and former Member of Parliament Kees Verhoeven provided expertise and commentary.
Continue reading “First Dutch citizen proves that an algorithm discriminated against her on the basis of her skin colour”
The past week the Dutch goverment hosted and organised the military AI conference REAIM 2023. Together with eight other NGOs we signed an open letter, initated by Oumaima Hajri, that calls on the Dutch government to stop promoting narratives of “innovation” and “opportunities” but, rather, centre the very real and often disparate human impact.
Continue reading “An alliance against military AI”
Stories about the hidden and exploitative racialised labour which fuels the development of technologies continue to surface, and this time it is on ChatGPT. Billy Perrigo, who previously reported on Meta’s content moderation sweatshop and on whistleblower Daniel Moutang, who took Meta to court, has shed light on how OpenAI has relied upon outsourced exploitative labour in Kenya to make ChatGPT less toxic.
Continue reading “The cheap, racialised, Kenyan workers making ChatGPT “safe””
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”
This study builds upon work in algorithmic bias, and bias in healthcare. The use of AI-based diagnostic tools has been motivated by a shortage of radiologists globally, and research which shows that AI algorithms can match specialist performance (particularly in medical imaging). Yet, the topic of AI-driven underdiagnosis has been relatively unexplored.
Continue reading “Racist Technology in Action: The “underdiagnosis bias” in AI algorithms for health: Chest radiographs”
Laat ik de vraag specificeren voor mijn vakgebied: zijn besluiten die door technologie worden genomen rechtvaardig? Verdien je de beslissing die uit de machine rolt?
Continue reading “Uit Vrij Nederland: Krijgen we wat we verdienen?”
The immanent demise of Twitter after Elon Musk’s takeover sparked an exodus of people leaving the platform, which is only expected to increase. The significant increase in hate speech, and general hostile atmosphere created by the erratic decrees by it’s owner (such as Trump’s reinstatement) made, in the New Yorker writer Jelani Cobb’s words, “remaining completely untenable”. This, often vocal, movement of people from the platform has sparked a debate on what people stand to loose and what the alternative is.
Continue reading “What’s at stake with losing (Black) Twitter and moving to (white) Mastodon?”
In a roundtable on artificial intelligence in the Dutch Parliament, Quirine Eijkman spoke on behalf of the Netherlands Institute for Human Rights about Robin Pocornie’s case against the discriminatory use of Proctiorio at the VU university.
Continue reading “Dutch Institute for Human Rights speaks about Proctorio at Dutch Parliament”
Tiera Tanksley’s work seeks to better understand how forms of digitally mediated traumas, such as seeing images of Black people dead and dying on social media, are impacting Black girls’ mental and emotional wellness in the U.S. and Canada. Her fears were confirmed in her findings: Black girls report unprecedented levels of fear, depression, anxiety and chronic stress. Viewing Black people being killed by the state was deeply traumatic, with mental, emotional and physiological effects.
Continue reading “Profiting off Black bodies”
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”
Dutch student Robin Pocornie filed a complaint with Dutch Institute for Human Rights. The surveillance software that her university used, had trouble recognising her as human being because of her skin colour. After a hearing, the Institute has now ruled that Robin has presented enough evidence to assume that she was indeed discriminated against. The ball is now in the court of the VU (her university) to prove that the software treated everybody the same.
Continue reading “Dutch Institute for Human Rights: Use of anti-cheating software can be algorithmic discrimination (i.e. racist)”
A critical, in depth report on Top400 – a crime prevention project by the Amsterdam municipality – which targets and polices minors (between the ages of 12 to 23) has emphasised the stigmatising, discriminatory, and invasive effects of the Top400 on youths and their families.
Continue reading “Amsterdam’s Top400 project stigmatises and over-criminalises youths”
The UK organisation No Tech for Tyrants (NT4T) has published an extensive report on the use of surveillance technologies by the police in the UK, US, Mexico, Brazil, Denmark and India, in collaboration with researchers and activists from these countries. The report, titled “Surveillance Tech Perpetuates Police Abuse of Power” examines the relation between policing and technology through in-depth case studies.
Continue reading “Report: How police surveillance tech reinforces abuses of power”
DoNotPay is a ‘robot lawyer’ service, allowing its customers (regular citizens) to automatically do things like fighting parking tickets, getting refunds on flight tickets, or auto-cancelling their free trials. Earlier this year, it expanded its service to include finding and helping remove racist language in housing documents.
Continue reading “Auto-detecting racist language in housing documents”Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.