Measurement
Algorithmic Bias
In the wake of the Black Lives Matter and #MeToo movements, and the long-overdue rise in awareness of racism and sexism, my role is to deeply confront my own biases, advocate for anti-racist and feminist policy, and spread awareness. Data and algorithms are becoming central to solidifying, reinforcing and hiding bias. This will only make it harder to address, unless we are very aware of their power and risks.
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Clark J (2016) Artifical Intelligence Has a ‘Sea of Dudes’ Problem. Bloomberg News, June 23.
Dastin J (2018) Amazon Scraps Secret A.I. Recruiting Tool That Showed Bias Against Women, Reuters, Oct 10.
Smith CS (2019) Dealing With Bias In Artificial Intelligence, New York Times, Nov 19.
Hao K (2019) This Is How A.I. Bias Really Happens—And Why It’s So Hard To Fix, MIT Technology Review, Feb 4.
Reeve Givens A (2020) How Algorithmic Bias Hurts People With Disabilities, Slate, Feb 6.
Buolamwini J (2020) IBM Leads, More Should Follow: Racial Justice Requires Algorithmic Justice, Medium, Jun 9.
Hill K (2020) Wrongfully Accused By An Algorithm, New York Times, Jun 24.
Reeve Givens A (2021) We Need Laws To Take On Racism And Sexism In Hiring Technology, New York Times, Mar 17.
Metz C (2021) Who Is Making Sure The A.I. Machines Aren’t Racist? New York Times, Mar 15.
