Datacast Episode 32: Economics, Data For Good and AI Research with Sara Hooker

Original article was published on Deep Learning on Medium

Datacast Episode 32: Economics, Data For Good and AI Research with Sara Hooker

The 32nd Episode of Datacast is my conversation with Sara Hooker, a researcher at Google doing deep learning research on reliable explanations of model predictions for black-box models. Give it a listen to hear about her background in economics, her work at Udemy, her data for good initiatives with Delta Analytics, her research on model interpretability and model compression, the AI community in Africa, and much more.

Sara Hooker is a researcher at Google Brain doing deep learning research on reliable explanations of model predictions for black-box models. Her main research interests gravitate towards interpretability, model compression, and security. In 2014, she founded Delta Analytics, a non-profit dedicated to bringing technical capacity to help non-profits across the world use machine learning for good. She grew up in Africa, in Mozambique, Lesotho, Swaziland, South Africa, and Kenya. Her family now lives in Monrovia, Liberia.