Mar 15–18, 2020
Divya Sivasankaran

Divya Sivasankaran
Machine Learning Scientist, integrate.ai

Website

Divya Sivasankaran is a machine learning scientist at integrate.ai where she focuses on building out FairML capabilities within its products. Previously, she worked for a startup that partnered with government organizations (police force and healthcare) to build AI capabilities to bring about positive change (and good intentions). But these experiences also shaped her thinking around the larger ethical implications of AI in the wild and the need for ethical considerations to be brought forward at the design thinking stages (proactive versus reactive).

Sessions

11:00am11:40am Tuesday, March 17, 2020
Location: 210 F
Divya Sivasankaran (integrate.ai)
In recent years, there's been a lot of attention on the need for ethical considerations in ML, as well as different ways to address bias in different stages of the ML pipeline. However, there hasn't been a lot of focus on how to bring fairness to ML products. Divya Sivasankaran explores the key challenges (and how to overcome them) in operationalizing fairness and bias in ML products. Read more.

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