James Zou is an assistant professor of biomedical data science, CS and EE at Stanford University. He is also a Chan-Zuckerberg investigator. James work on making ML more reliable, accountable and human compatible. Several of his methods are used by tech, biotech and pharma companies. He has received several best paper awards at top CS venues, the 2019 RECOMB best paper award, NSF CAREER Award, Google Faculty Award, Tencent AI award, Amazon Research Award and the Sloan Fellowship.
| Schedule |
Friday 9 April 2021 , 10am
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| Link |
https://nus-sg.zoom.us/j/86231051396?pwd=MHA5K3REWmx4enNWK1FjN0VycHpsUT09 |
| ID | 862 3105 1396 |
| Password | 492241 |
| Title |
What is your data worth? Quantifying the value of data in AI.
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| Abstract | As data becomes the fuel driving technological and economic growth, a fundamental challenge is how to quantify the value of data in algorithmic predictions and decisions. For example, CA Gov. Newsom recently proposed “data dividend” whereby consumers are compensated by companies for the data that they generate. In this talk we will present a principled framework to quantify the value of different data in AI. Beyond regulatory implications, we will discuss applications to denoising, active learning, and domain adaption on large biomedical datasets. I will conclude by discussing how data valuation contributes to a broader framework of accountable AI. |
