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What happens when algorithms learn to be biased? What does that even mean? We talk to special guest Dr Jess Whittlestone from the Leverhulme Centre for the Future of Intelligence about whether algorithmic bias is something to worry about, and whether anything can be done about it? \n\nImage: CBS Television via Wikipedia\n\nThings mentioned in this podcast\nDanks and London (2017): A taxonomy of types and sources of algorithmic bias - https://www.cmu.edu/dietrich/philosophy/docs/london/IJCAI17-AlgorithmicBias-Distrib.pdf\nJess Whittlestone (https://jesswhittlestone.com/), and at the Leverhulme Centre for the Future of Intelligence - http://www.csap.cam.ac.uk/network/jess-whittlestone/\nThe Equality Act 2010 - https://www.gov.uk/guidance/equality-act-2010-guidance\n\nFor more Cognitive Engineering episodes find us on iTunes, Google Play or wherever you get your podcasts, or add this RSS feed to your preferred player: http://feeds.soundcloud.com/users/soundcloud:users:219479129/sounds.rss