Discriminating Systems: Gender, Race, and Power in AI

The diversity crisis in AI is well-documented and wide-reaching. It can be seen in unequal workplaces throughout industry and in academia, in the disparities in hiring and promotion, in the AI technologies that reflect and amplify biased stereotypes, and in the resurfacing of biological determinism in automated systems.

By Kate Crawford, Meredith Whittaker and Sarah Myers West for AI Now Institute on April 1, 2019

Designed to Deceive: Do These People Look Real to You?

The people in this story may look familiar, like ones you’ve seen on Facebook or Twitter or Tinder. But they don’t exist. They were born from the mind of a computer, and the technology behind them is improving at a startling pace.

By Kashmir Hill for The New York Times on November 21, 2020

Digital Ethics in Higher Education: 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

Down with (discriminating) systems

As the EU formulates its response in its upcoming ‘Action Plan on Racism’, EDRi outlines why it must address structural racism in technology as part of upcoming legislation.

By Sarah Chander for European Digital Rights (EDRi) on September 2, 2020

Philosophers On GPT-3 (updated with replies by GPT-3)

Nine philosophers explore the various issues and questions raised by the newly released language model, GPT-3, in this edition of Philosophers On.

By Amanda Askell, Annette Zimmermann, C. Thi Nguyen, Carlos Montemayor, David Chalmers, GPT-3, Henry Shevlin, Justin Khoo, Regina Rini and Shannon Vallor for Daily Nous on July 30, 2020

Kunstmatig racisme

Terwijl het besef dat algoritmes niet heilig zijn overal begint door te dringen, gaan wij ze op zeer gevaarlijke manier gebruiken.

By Hasna El Maroudi for Joop on June 19, 2019

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