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Algorithmic bias: Where it comes from and what to do about it

Andrew Oram, Ifeoma Ajunwa, Geoff A. Cohen, Ben Green

Algorithms are the new boogie men in social control and institutional discrimination. There is bias and lack of accountability in the algorithms that determine who gets hired for a job, who can get a loan, who qualifies for insurance, and even who goes to jail.

Well-designed algorithms can eliminate natural human bias. But with black-box algorithms, humans seem to be losing control over the machines that control our lives.

Sharing the source code implementing algorithms isn’t enough. Bias may be built into algorithms: for instance, an algorithm using actual random stops and arrests could recommend harsh treatment for blacks, as they are targeted more frequently by cops.

Research suggests a counter-intuitive approach to ameliorating bias. One must not be blind to demographic categories who experience discrimination--instead one must actively monitor these factors.

Panelists will present their views for a few minutes, then taking comments and questions from the audience.

Slides: https://media.libreplanet.org/u/libreplanet/m/algorithmic-bias-where-it-comes-from-and-what-to-do-about-it-49ed/


7 years ago

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video · lp2017 · LibrePlanet · LibrePlanet 2017 · LibrePlanet 2017 video

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