What you will learn:

We have all been the subject of a predictive computer algorithms of the form: "If you liked X, then you may like Y." Music and movie streaming sites and on-line shopping sites routinely analyze our previous listening, viewing, and shopping habits, compares them with other users, and then makes recommendations for us. Many of us have been subjected to a predictive algorithm of the form "If you are like X, then we may not give you a loan or a job." Banks and employers routinely make lending and hiring decisions based on comparing your personal attributes with those of others. And, if you've recently had a run-in with the criminal justice system in many parts of the world, you may have been subjected to a predictive algorithm of the form "If you are like X, then you may go to jail." These predictive algorithms are designed to remove implicit and explicit bias in critical decision making. These algorithms, however, have also been accused of reflecting and amplifying past racial and gender injustices. We evaluate the claim that predictive computer algorithms are more accurate and fair than people tasked with making similar decisions. We also evaluate, and explain, the presence of racial bias in predictive algorithms used in the criminal justice system and discuss the broader applications of turning over key decision making to AI systems.

About the instructor:

I am a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Sciences and the School of Information. My research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. I received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, my M.S. in Computer Science from SUNY Albany in 1992, and my Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, I joined the faculty at Dartmouth College in 1999 where I remained until 2019. I am the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and am a Fellow of the National Academy of Inventors.
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Suggested Length:60 min
# of Employees: Flexible
Delivery: Live via Zoom
Available Formats:
  • Interactive Workshop

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