Kunstmatige intelligentie zou ervoor zorgen dat er tijdens oorlogen minder burgerdoden vallen. In realiteit vallen er juist meer. Want waar mensen worden gereduceerd tot datapunten, voelt vuren al snel als objectief en correct.
By Lauren Gould, Linde Arentze, and Marijn Hoijtink for De Groene Amsterdammer on July 24, 2024
Wat je in zelflerende AI-systemen stopt, krijg je terug. Technologie, veelal ontwikkeld door witte mannen, versterkt en verbergt daardoor de vooroordelen. Met name vrouwen (van kleur) luiden de alarmbel.
By Marieke Rotman, Nani Jansen Reventlow, Oumaima Hajri and Tanya O’Carroll for De Groene Amsterdammer on July 12, 2023
The Ethiopian-born computer scientist lost her job after pointing out the inequalities built into AI. But after decades working with technology companies, she knows all too much about discrimination.
By John Harris for The Guardian on May 22, 2023
Tech pundits presume artificial intelligence is something you either conquer or succumb to. But they’re looking at it all wrong.
By Andrea Grimes for Dame Magazine on April 11, 2023
When large language models fall short, the consequences can be serious. Why is it so hard to acknowledge that?
By Abeba Birhane and Deborah Raji for WIRED on December 9, 2022
‘Effective Altruism’ is all the vogue, but deeply problematic.
Continue reading “Beware of ‘Effective Altruism’ and ‘Longtermism’”
Supporting transnational worker organizing should be at the center of the fight for “ethical AI.”
By Adrienne Williams, Milagros Miceli and Timnit Gebru for Noema on October 13, 2022
A government leader in Argentina hailed the AI, which was fed invasive data about girls. The feminist pushback could inform the future of health tech.
By Alexa Hagerty, Diego Jemio and Florencia Aranda for WIRED on February 16, 2022
Those who could be exploited by AI should be shaping its projects.
By Pratyusha Kalluri for Nature on July 7, 2020
Hiring sociocultural workers to correct bias overlooks the limitations of these underappreciated fields.
By Elena Maris for WIRED on January 12, 2022
In mid October 2021, the Allen Institute for AI launched Delphi, an AI in the form of a research prototype that is designed “to model people’s moral judgments on a variety of everyday situations.” In simple words: they made a machine that tries to do ethics.
Continue reading “Racist Technology in Action: an AI for ethical advice turns out to be super racist”
Researchers at the Allen Institute for AI created Ask Delphi to make ethical judgments — but it turned out to be awfully bigoted and racist instead.
By Tony Tran for Futurism on October 22, 2021
Creating welcoming and safe spaces for racialised people in policymaking is essential for addressing AI harms. Since the beginning of my career as an AI policy researcher, I’ve witnessed many important instances where people of color were almost totally absent from AI policy conversations. I remember very well the feeling of discomfort I had experienced when I was stopped at the entrance of a launch event for a report on algorithmic bias. The person who was tasked with ushering people into the meeting room was convinced that I was not “in the right place”. Following a completely avoidable policing situation; I was in the room, but the room didn’t seem right to me. Although the topic was algorithmic bias and discrimination, I couldn’t spot one racialised person there — people who are most likely to experience algorithmic harm.
By Raziye Buse Çetin for Who Writes The Rules on March 11, 2019
For years, Big Tech has set the global AI research agenda. Now, groups like Black in AI and Queer in AI are upending the field’s power dynamics to build AI that serves people.
By Karen Hao for MIT Technology Review on June 14, 2021
Successful and ethical artificial intelligence programs take into account behind-the-scenes ‘repair work’ and ‘ghost workers.’
By Sara Brown for MIT Sloan on May 4, 2021
The AI researcher on how natural resources and human labour drive machine learning and the regressive stereotypes that are baked into its algorithms.
By Kate Crawford for The Guardian on June 6, 2021
The company is considering how its use of machine learning may reinforce existing biases.
By Anna Kramer for Protocol on April 14, 2021
The Rekenkamer Rotterdam (a Court of Audit) looked at how the city of Rotterdam is using predictive algorithms and whether that use could lead to ethical problems. In their report, they describe how the city lacks a proper overview of the algorithms that it is using, how there is no coordination and thus no one takes responsibility when things go wrong, and how sensitive data (like nationality) were not used by one particular fraud detection algorithm, but that so-called proxy variables for ethnicity – like low literacy, which might correlate with ethnicity – were still part of the calculations. According to the Rekenkamer this could lead to unfair treatment, or as we would call it: ethnic profiling.
Continue reading “Rotterdam’s use of algorithms could lead to ethnic profiling”
The human-centered approach that can combat algorithmic bias.
By Jessie Daniels for Quartz on April 3, 2019
The situation has made clear that the field needs to change. Here’s where to start, according to a current and a former Googler.
By Alex Hanna and Meredith Whittaker for WIRED on December 31, 2020
The company’s star ethics researcher highlighted the risks of large language models, which are key to Google’s business.
By Karen Hao for MIT Technology Review on December 4, 2020
Timnit Gebru’s firing could damage Google’s reputation and ethical AI research within tech companies, industry leaders told Protocol.
By Anna Kramer for Protocol on December 3, 2020
New technologies, especially those relying on artificial intelligence or data analytics, are exciting but also present ethical challenges that deserve our attention and action. Higher education can and must lead the way.
By John O’Brien for EDUCAUSE Review on May 18, 2020
Companies like Netflix, Facebook, and Uber deploy algorithms in search of greater efficiency. But when used to evaluate the powerful systems that judge us, algorithms can spur social progress in ways nothing else can.
By Noam Cohen for WIRED on October 25, 2018
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