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"Lawmakers object to Library of Congress replacing the term ‘illegal alien’" by Jasmine Aguilera
"University library system adds ‘ethical’ search options so students can avoid the term ‘illegal aliens’" by Maria Lencki
"These Entrepeneurs are Taking on Bias in Artificial Intelligence" by Liz Webber
Webber tells the stories of Cathy O'Neil, Frida Polli, Rediet Abebe, Tess Posner, and Chad Steelberg. These founders and CEOs have created organizations dedicated to algorithm auditing, open source AI auditing, empowering marginalized groups to become computer programmers, and building better AI.
Independent computer programmers are creating more fair machine-learning libraries
Themis-ml is an open-source machine-learning library is free for everyone to use. It defines discrimination as "the preference (bias) for or against a set of social groups that result in the unfair treatment of its members with respect to some outcome." It defines fairness as "the opposite of discrimination, and in the context of a machine learning algorithm, this is measured by the degree to which the algorithm’s predictions favor one social group over another in relation to an outcome that holds socioeconomic, political, or legal importance, e.g. the denial/approval of a loan application."
An algorithm is “fair” depending on the individual's definition of fairness, the intended outcome, and the social attributes relevant to potential discriminatory situations.
"Algorithmic Impact Assessments: Toward Accountable Automation in Public Agencies" by AI Now Institute
"Ai, Ain't I a Woman?" by Joy Buolamwini