Put AI to Work
April 15-18, 2019
New York, NY
Forough Poursabzi-Sangdeh

Forough Poursabzi-Sangdeh
Postdoctoral Researcher, Microsoft Research NYC

Website

Forough Poursabzi-Sangdeh is a postdoctoral researcher at Microsoft Research New York City. She works in the interdisciplinary area of interpretable and interactive machine learning, collaborating with psychologists to study human behavior when interacting with machine learning models. She uses these insights to design machine learning models that humans can use effectively. She’s also interested in several aspects of fairness, accountability, and transparency in machine learning and their effect on users’ decision-making process. Forough holds a BE in computer engineering from the University of Tehran and a PhD in computer science from the University of Colorado at Boulder.

Sessions

1:50pm–2:30pm Thursday, April 18, 2019
Manipulating and measuring model interpretability
Interacting with AI
 Location: Regent Parlor
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Forough Poursabzi-Sangdeh (Microsoft Research NYC)
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Forough Poursabzi-Sangdeh argues that to understand interpretability, we need to bring humans in the loop and run human-subject experiments. She describes a set of controlled user experiments in which researchers manipulated various design factors in models that are commonly thought to make them more or less interpretable and measured their influence on users’ behavior. Read more.