Digital fairness is a crucial consideration for any scientist who relies on computation. Who owns artificial intelligence models and who owns the data in those models? What biases are unintentionally embedded in the models? How transparent are the data manipulation processes? How reproducible are the results? The answer to these questions could have a myriad of impacts on both the science being conducted and the communities that could potentially benefit from these investigations.
Join the Institute for Computational and Data Sciences virtually October 6 and 7 as we bring together researchers from around the U.S. to discuss data, equity, reproducibility, and other topics related to fairness more.
The Symposium will include multiple keynotes, panel discussions, an industry panel, a student poster session, and more.
