Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Cindy Tseng

Cindy Tseng
Research Scientist, Intel

Cindy Tseng is a research scientist with the Applied Research in Automotive Driving Group at Intel, where she has recently been focusing on bias detection in convolution neural nets. Cindy has also worked in the high-throughput computing and deep learning hardware accelerator spaces. She holds a master’s degree from the Electrical and Computer Engineering Department at Carnegie Mellon University and a bachelor’s degree in electrical engineering and computer science from the University of Michigan-Ann Arbor. Cindy is currently enrolled as a part-time student in the Masters in Data Science Program in Computer Science at the University of Illinois Urbana-Champaign.

Sessions

9:00am–12:30pm Tuesday, March 26, 2019
AI privacy and ethical compliance toolkit
Data Science, Machine Learning & AI
 Location: 2001
Secondary topics:  Ethics, Security and Privacy
Iman Saleh (Intel), Cory Ilo (Intel), Cindy Tseng (Intel)
Average rating: *****
(5.00, 3 ratings)
From healthcare to smart home to autonomous vehicles, new applications of autonomous systems are raising ethical concerns about a host of issues, including bias, transparency, and privacy. Iman Saleh, Cory Ilo, and Cindy Tseng demonstrate tools and capabilities that can help data scientists address these concerns and bridge the gap between ethicists, regulators, and machine learning practitioners. Read more.