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AI, (Dis)information, and Public Accountability
Thursday, November 13, 1:45 to 3:15pm, Property: Grand Hyatt Seattle, Floor: 1st Floor/Lobby Level, Room: Princess 1Session Submission Type: Panel
Abstract
As policymakers around the world grapple with questions of artificial intelligence (AI) regulation, this session considers policies for managing misinformation generated by AI. Two of the papers focus on survey-based experiments to understand how people interpret deepfakes with and without watermarks, and to understand how U.S. and German consumers evaluate companies that use different types of AI safety auditing practices. The other two papers leverage AI tools to identify state and local policies for election disinformation prevention and health policy information documentation, respectively. The latter two papers consider questions of data accuracy and how prompt refinement can improve the use of AI as a tool for collecting and updating policy datasets. Taken together, this session will shed light on human responses to disinformation mitigation strategies and on ways to refine the use of AI for more-accurate policy documentation.
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Individual Presentations
Double-Edged Algorithms: AI, Misinformation, and Election Integrity in U.S. State Governments - Presenting Author: Jeongmin Oh, University of Cincinnati; Non-Presenting Co-Author: Chul Hyun Park, University of Maryland, Baltimore County
Watering Down Watermarks: The Effectiveness of Labeling Deepfakes - Presenting Author: Christina Walker, Purdue University; Non-Presenting Co-Author: Daniel S. Schiff, Purdue University; Non-Presenting Co-Author: Kaylyn Jackson Schiff, Purdue University
Mitigating Misinformation in Health Policy Data Extraction with Large Language Models - Presenting Author: Congjing Zhang, University of Washington; Non-Presenting Co-Author: Jingyu Li, Georgia Institute of Technology; Non-Presenting Co-Author: Xianshan Qu, University of Central Oklahoma; Non-Presenting Co-Author: Shuai Huang, University of Washington; Non-Presenting Co-Author: Yanfang Su, University of Washington
The Influence of Information and Audits on the Public’s Perception of AI - Presenting Author: Alexander Wilhelm, Purdue University; Non-Presenting Co-Author: Daniel S. Schiff, Purdue University; Non-Presenting Co-Author: Kaylyn Jackson Schiff, Purdue University