SSP Forum: James Zou on the Value of Data

The
Symbolic Systems Forum
presents

What Is Your Data Worth? Quantifying the Value of Data in Machine Learning
James Zou
Biomedical Data Science Department

Monday, March 8, 2021
2:30 pm - 3:30 pm
Join from PC, Mac, Linux, iOS or Android (requires logging in to a Zoom account): https://stanford.zoom.us/j/99713091022?pwd=b0hna3VRUkFWWHl0TUEwcTRQYktwQT09

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 machine learning. 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.