Presented By: Michigan Institute for Data Science
Responsible Data Science and AI mini-symposium
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 harms 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.
The Mini-Symposium is a part of the Future Leaders Summit two day event and is open to the public. Below is the event schedule:
1:15 PM - Opening Remarks, Jing Liu (Managing Director, MIDAS, University of Michigan)
1:20 PM - Why Data Scientists Should Care About Data Equity, H.V. Jagadish (Director, MIDAS, University of Michigan)
2:00 PM - Responsible data science is equitable, informed, and secure, David Mongeau (University of Texas San Antonio)
2:40 PM – GeoAI and Spatial Data Science: with Great Power comes Great Responsibility, Shashi Shekhar (University of Minnesota)
3:20 PM - Break
3:40 PM – When Algorithms Trade: Modeling AI in Financial Markets, Michael Wellman (University of Michigan)
4:20 PM – Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research, Frauke Kreuter (University of Maryland)
5:00 PM – Panel: Research directions and future breakthroughs, All speakers
The Mini-Symposium is a part of the Future Leaders Summit two day event and is open to the public. Below is the event schedule:
1:15 PM - Opening Remarks, Jing Liu (Managing Director, MIDAS, University of Michigan)
1:20 PM - Why Data Scientists Should Care About Data Equity, H.V. Jagadish (Director, MIDAS, University of Michigan)
2:00 PM - Responsible data science is equitable, informed, and secure, David Mongeau (University of Texas San Antonio)
2:40 PM – GeoAI and Spatial Data Science: with Great Power comes Great Responsibility, Shashi Shekhar (University of Minnesota)
3:20 PM - Break
3:40 PM – When Algorithms Trade: Modeling AI in Financial Markets, Michael Wellman (University of Michigan)
4:20 PM – Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research, Frauke Kreuter (University of Maryland)
5:00 PM – Panel: Research directions and future breakthroughs, All speakers
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