{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/446cdc07c87f470ea12755da8a661618\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/446cdc07c87f470ea12755da8a661618-00001.gif","duration":1819,"title":"Algorithmic bias in Machine Learning (Doina)","description":"Hi all, this is a mini-lecture recorded Apr 8, 2021 for Inter-Actief. The 'real' content starts at 1:34 and ends at about 28:46.\n\nThe links and references on the slides:\n\nhttps://app.wooclap.com/ABIML/wall  (to ask Doina questions whenever you get to this video)\nhttps://www.youtube.com/watch?v=Ok5sKLXqynQ “Are We Automating Racism?” (Vox), slide 4\nhttps://science.sciencemag.org/content/366/6464/447 \"Dissecting racial bias in an algorithm used to manage the health of populations\", slides 7-9\nhttps://arxiv.org/abs/2010.03058 \"Characterising Bias in Compressed Models\" (Google Research), slides 12-14\nhttps://distill.pub/2021/multimodal-neurons/ \"Multimodal Neurons in Artificial Neural Networks\" (OpenAI), slides 15-16"}