Abstract
Recent developments in artificial intelligence (AI) has led to its use in a wide variety of industries, and over-reliance or misplaced trust in the veracity of AI sources has been seen in law, education, medicine, and other fields. As reliance on AI for message-creation grows, the potential for the spread of misinformation increases. Along with deep fakes, regular use of open-source AI to create information for public consumption can lead audience members to draw incomplete and inaccurate conclusions about important topics. AI users–both those who are operating in good faith and those bent on spreading false information–may systematically distort the policy preferences of voters and industry leaders. In this study, we consider behavioral science research and theory, which may provide important insights into how to curb the potential for harm from reliance on faulty communication.
Presenters
Molly WilsonStudent, JD, PhD, St. Louis University School of Law, Missouri, United States
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Behavioral-science, Bias, Misinformation, Public, Choice-distortion, Policy, Politics
