Amy Heineike is the vice president of product engineering at Primer AI. One area the company is active in is around news data and news cycles — they model the contrasting narratives that people are telling around global stories using millions of statistical observations about entities and their relationships. Another area that they’re active in is around Wikipedia — human-written summaries and maintaining these summaries is extremely time intensive and Primer AI has formulated approaches to creating and maintaining pages.

For her talk, Heineike focuses on an idea that Primer AI had from the very beginning: How we think about humans and machines interacting with AI, how we understand the data and then, how we overcome the bias we discover.

Heineike gave her lecture on March 8, 2019, during the annual Women in Technology symposium at UC Berkeley. The daylong event was sponsored by WITI@UC, a joint initiative of Berkeley Engineering and CITRIS and the Banatao Institute.

Read the transcript on Berkeley News.

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