Abstract Number:
1183
Submission Type:
Invited Panel Session
Participants:
Will Eagan (1), Jing Cao (2), Jing Cao (2), Mark Glickman (3), Xuanyao He (4), Rochelle Tractenberg (5), Will Eagan (1)
Institutions:
(1) Vertex Pharmaceuticals Inc, N/A, (2) N/A, N/A, (3) Harvard University, N/A, (4) Eli Lilly and Company, N/A, (5) Georgetown University, N/A
Chair:
Co-Organizer:
Panelist(s):
Session Organizer:
Session Description:
The format is a panel session. This session focuses on the application and potential limitations of the American Statistical Association Ethical Guidelines for Statistical Practices to artificial intelligence (AI). With the explosion in popularity of ChatGPT and other AI based methods, this session is particularly timely. This session a produce of collaboration of three ASA Committees belonging to the Membership and Professional Issues and Visibility Council is a natural fit into the theme of JSM 2024 - Statistics and Data Science: Informing Policy and Countering Misinformation. It emphasizes how ASA and other such organizations work to develop statistics as profession, and how to extend such efforts into the new frontier of AI. Additionally, this session's appeal is widespread and should be of particular interest to student and early career attendees.
The content will be provided by a robust exchange of ideas from a highly accomplished set of panelists. Questions from the audience will be strongly encouraged. The composition of the panel represents different perspectives and background, but each possesses a national reputation.
Jing Cao is Professor of Statistical Science at Southern Methodist University. Currently Chair of Committee on Professional Ethics, and lead author of September 2023 AmStat News article on the session's topic. She has published on the application of neural networks.
Andrew Gelman is the Higgins Professor of Statistics and Professor of Political Science at Columbia University. Also at Columbia University, he is Founding Director of the Applied Statistics Center at Columbia University and Faculty Fellow at the Institute for Social and Economic Research and Policy. He is a world renowned Bayesian statistician and his contributions to computational statistics. He has written a number of articles on ethical practice in Chance Magazine.
Mark Glickman is Senior Lecturer in Statistics at Harvard University and Senior Statistician for the Center for Healthcare Organization and Implementation Research at the US Department of Veteran Affairs. He is a past member of the ASA Board of Directors, and Chair of the fairly recently formed ASA Committee on Data Science and Artificial Intelligence.
Xuanyao He is Director of Statistics for Real World Analytics and Access at Eli Lilly. She is mid-career statistician with experience in the application of AI to drug development.
Rochelle Tractenberg is Professor of Neurology at Georgetown University with secondary appointments in Biostatistics, Bioinformatics & Biomathematics and Rehabilitation Medicine. She established and directs the Collaborative for Research on Outcomes and -Metrics and is Co-director to the Spinal Cord Injury Model System. She is a former Chair to the Committee on Professional Ethics and has chair and co-chaired the committee's working groups on revising the ASA Ethical Guidelines. As a renowned scholar on ethics to data science, she has authored two books on ethical reasoning and ethical practice in statistics and data science, respectively.
Sponsors:
Ad Hoc Advisory Committee on Data Science 3
Committee on Membership Retention and Recruitment 2
Committee on Professional Ethics 1
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Large (150-275)
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I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
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