Joaquin Candela — Definitions of Fairness

Joaquin chats about scaling and democratizing AI at Facebook, while understanding fairness and algorithmic bias. --- Joaquin Quiñonero Candela is Distinguished Tech Lead for Responsible AI at Facebook, where he aims to understand and mitigate the risks and unintended consequences of the widespread use of AI across Facebook. He was previously Director of Society and AI Lab and Director of Engineering for Applied ML. Before joining Facebook, Joaquin taught at the University of Cambridge, and worked at Microsoft Research. Connect with Joaquin: Personal website: https://quinonero.net/ Twitter: https://twitter.com/jquinonero LinkedIn: https://www.linkedin.com/in/joaquin-qui%C3%B1onero-candela-440844/ --- Topics Discussed: 0:00 Intro, sneak peak 0:53 Looking back at building and scaling AI at Facebook 10:31 How do you ship a model every week? 15:36 Getting buy-in to use a system 19:36 More on ML tools 24:01 Responsible AI at Facebook 38:33 How to engage with those effected by ML decisions 41:54 Approaches to fairness 53:10 How to know things are built right 59:34 Diversity, inclusion, and AI 1:14:21 Underrated aspect of AI 1:16:43 Hardest thing when putting models into production Transcript: http://wandb.me/gd-joaquin-candela Links Discussed: Race and Gender (2019): https://arxiv.org/pdf/1908.06165.pdf Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning (2019): https://arxiv.org/abs/1912.10389 Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018): http://proceedings.mlr.press/v81/buolamwini18a.html --- Get our podcast on these platforms: Apple Podcasts: http://wandb.me/apple-podcasts​​ Spotify: http://wandb.me/spotify​ Google Podcasts: http://wandb.me/google-podcasts​​ YouTube: http://wandb.me/youtube​​ Soundcloud: http://wandb.me/soundcloud​ Join our community of ML practitioners where we host AMAs, share interesting projects and meet other people working in Deep Learning: http://wandb.me/slack​​ Check out Fully Connected, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more: https://wandb.ai/fully-connected