There isn’t one definition of fairness with Joaquin Candela Tech Lead for Responsible AI at Facebook

Scaling and democratizing AI at Facebook and understanding fairness and algorithmic bias.

Joaquin Quiñonero Candela is the Tech Lead for Responsible AI, a Director of Engineering in AI at Facebook where he built the Applied Machine Learning team which powers all production applications of AI across Facebook’s products.

Prior to this, Joaquin taught at the University of Cambridge, and worked at Microsoft Research.

Reference papers from Timnit Gebru:
- https://arxiv.org/pdf/1908.06165.pdf
- https://arxiv.org/abs/1912.10389]
- http://proceedings.mlr.press/v81/buolamwini18a.html

Topics Covered:
0:00 Defining fairness
0:22 Intro + Bio
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

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