Generative AI and the End of Trust

A conversation with Jeff Hancock, co-director of the CPC and director of the Stanford Social Media Lab. The session will be moderated by Nate Persily. This session is part of the Spring Seminar Series, a series spanning April through June, hosted at the Cyber Policy Center with the Program on Democracy and the Internet.
The impact of recent AI advancements has massive implications for trust in human interactions. There is not only a growing role of AI in financial decision-making, risk assessment, and fraud detection, but the introduction of generative AI will challenge the maintenance of trust and accountability in an increasingly AI-mediated world. In this talk, Hancock will cover recent research on how people perceive and detect AI in human communication, and how generative AI is likely to undermine trust in several important human domains.

[@tom.spitters]

Thank you for this very valuable presentation about enhancing communications and the uses of the written word. This has tremendous potentialities for use in human development and given the way AI now changes the ways people interact with language, and the mindset behind the verbal and narrative functions of language; it also now promises change in the ways these are approached in learning and analyzed and evaluated. That there is not one type of AI, including Open AI, does present trust and integrity questions that can be settled eventually given a more developed AI computing and technology environment and the development of a structured, standardized framework for the ways AI, as of yet not a substitute for human thought, etc., is used to influence and enhance language and our experience with it.

[@darylltempesta]

Nice talk