Thread by @DeepMind

Looking to learn more about AI? Our researchers are continuing to share their #AtHomeWithAI recommendations!

Today’s choices come from William Isaac (@wsisaac), a senior research scientist who specialises in ethics, bias and fairness. (1/5)

For an overview on fairness & how it applies to machine learning, William suggests diving into this freely available book [long read] by @s010n @mrtz and @random_walker!

See here: bit.ly/350VoAO #AtHomeWithAI

@random_walker also discusses the various definitions of fairness and the tradeoffs they present for society in the video tutorial “21 definitions of fairness and their politics”

Watch it here: bit.ly/2S21KuE #AtHomeWithAI

To understand the ethical implications of bias in AI systems, @wsisaac recommends watching this talk from @NeurIPSConf 2017 by the @AINowInstitute’s @katecrawford.

See here: bit.ly/3aGFBZm #AtHomeWithAI

Staying with @NeurIPSConf 2017, William also highlights this discussion on the sociotechnical elements of fairness in machine learning with @s010n and @mrtz. Watch it here: bit.ly/2VU49bV

Have another #AtHomeWithAI suggestion? Let us know!