Put AI to Work
April 15-18, 2019
New York, NY
Rachel Bellamy

Rachel Bellamy
Research Manager, IBM Research

Website

Rachel Bellamy is a principal research scientist and manages the Human-AI Collaboration Group at the IBM T. J. Watson Research Center, where she leads an interdisciplinary team of human-computer interaction experts, user experience designers, and user experience engineers. Previously, she worked in the Advanced Technology Group at Apple, where she conducted research on collaborative learning and led an interdisciplinary team that worked with the San Francisco Exploratorium and schools to pioneer the design, implementation, and use of media-rich collaborative learning experiences for K–12 students. She holds many patents and has published more than 70 research papers. Rachel holds a PhD in cognitive psychology from the University of Cambridge and a BS in psychology with mathematics and computer science from the University of London.

Sessions

9:00am–12:30pm Tuesday, April 16, 2019
Introducing the AI Fairness 360 toolkit
Implementing AI
 Location: Petit Trianon
Secondary topics:  Deep Learning and Machine Learning tools, Ethics, Privacy, and Security
Rachel Bellamy (IBM Research), Kush Varshney (IBM Research), KARTHIKEYAN NATESAN RAMAMURTHY (IBM Research), Michael Hind (IBM Research AI)
Average rating: *****
(5.00, 1 rating)
Rachel Bellamy, Kush Varshney, Karthikeyan Natesan Ramamurthy, and Michael Hind explain how to use and contribute to AI Fairness 360—a comprehensive Python toolkit that provides metrics to check for unwanted bias in datasets and machine learning models and state-of-the-art algorithms to mitigate such bias. Read more.