Abstract Number:
1241
Submission Type:
Invited Paper Session
Participants:
Wendy Martinez (1), Donna LaLonde (2), John Eltinge (3), Donna LaLonde (2), Stephanie Shipp (4), Jun Yan (5), Travis Hoppe (6)
Institutions:
(1) Bureau of Labor Statistics, N/A, (2) American Statistical Association, N/A, (3) US Census Bureau, N/A, (4) University of Virginia, Biocomplexity Institute & Initiative, N/A, (5) University of Connecticut, N/A, (6) N/A, N/A
Chair:
Co-Organizer:
Discussant:
Session Organizer:
Speaker(s):
Stephanie Shipp
University of Virginia, Biocomplexity Institute & Initiative
Session Description:
Since its creation in 1988 the mission of CHANCE, which is co-published quarterly by the American Statistical Association and Taylor & Francis Group, has been to provide articles that record and interpret the evolving science, society, and technology landscape for a general audience. The presentations in this session will document CHANCE's mission by focusing on an important contemporary topic. The session will consider ethical implications of advances in artificial intelligence on science, society, and technology. The presentations will illustrate how statistics and data science are essential for informing policy and countering misinformation. Consistent with Chance's mission to reach a general audience, the presentations will be of interest to a diverse audience and will encourage discussion from cross-disciplinarity perspectives.
The session will have 3 speakers and a discussant. Stephanie Shipp will give the historical perspective; Jun Yan will provide context as an educator and journal editor; and Travis will represent the government sector.
Sponsors:
CHANCE 1
Committee on Professional Ethics 2
History of Statistics Interest Group 3
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
No
Estimated Audience Size
Medium (80-150)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
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.
I understand