Data science and AI are having a significant impact on society in uncountable ways, leading to huge benefits in many cases. Yet, increasingly complex analytical pipelines working with poorly understood heterogeneous data sets can give rise to harm in many ways. Furthermore, there could be deleterious systemic effects such as the magnification of disinformation or surveillance capitalism. There has been tremendous recent interest in understanding and managing these concerns.

This mini-symposium is part of the Future Leader Summit program, a three-day event which brings together outstanding graduate students and postdocs from around the US to engage in research discussions with peers and with research leaders, and receive career mentoring, as they grow to become future research leaders in data science and Artificial Intelligence (AI).

Free and open to the public.
Register here: https://forms.gle/tcAW9ER5WsCMcTLS7

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"Human-machine partnership for conservation: AI and humans combatting extinction together"
Tanya Berger-Wolf, Director, Translational Data Analytics Institute, The Ohio State University

"From interstellar rocks to dark energy: building data science across research communities"
Andrew Connolly, Director, eScience Institute, University of Washington

"Equity in Data Science"
H. V. Jagadish, Director, MIDAS, University of Michigan

"Building a culture of Responsible AI (and what it means for researchers)"
Ellie Sakhaee, Senior Program Manager, Office of Responsible AI, Microsoft