The Responsibility that Comes with Powerful AI | Chirag Shah | Stories in AI

On the latest Stories in AI episode, I sit down with Chirag Shah, a professor at the University of Washington and Co-Director of RAISE (Responsible AI Systems and Experiences). As someone who has tremendous experience in both the research and industry side of AI advancement, Chirag provides us with an extremely unique perspective on the current market. We talked about the negative consequences that come with increasingly powerful AI tools and how to solve them.

 

Chirag's Bio: "I am a Professor at the University of Washington (UW) in Seattle. My research interests include search and recommender systems specifically focused on task-based applications, conversation AI, user experience, multi-objective optimization, and cold start problems. While I apply various Data Science and Machine Learning techniques to make systems "smart", I also care about reducing biases and increasing fairness in search/recommendation and in general in ML/AI systems. I primarily teach in Information Science and Data Science programs - at the undergraduate and graduate levels.

I also work closely with industrial research labs on cutting-edge problems, typically as a visiting researcher. The most recent engagements included Spotify (2018), Amazon (2019), Microsoft Research AI (2020), and Getty Images (2021). Some of the problems I have worked on recently include zero-intent and zero-query recommendations (cold start problems), marketplace fairness, and task/journey/mission-based ranking and recommendation. A few of these have led to solutions, features, and products that now affect hundreds of millions of customers in dozens of markets."

Find Chirag on: LinkedIn: https://www.linkedin.com/in/shah-chirag/

Twitter: https://twitter.com/chirag_shah?lang=en

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