Testing Artificial Intelligence Regulation: Is algorithmic transparency enough?

Nils Köbis
Margarita Leib
Rainer Michael Rilke
Marloes Hagens
Bernd Irlenbusch

Department of Finance

Press/Media: Expert comment › Professional

Description

KEY POINTS

Disclosing that advice stems from AI doesn't reduce its corrupting influence on human behavior.
Even with transparency, users may embrace AI advice for self-interest, raising ethical concerns.
Experiments help to test the behavioral impact of proposed AI legislation.

Period	27 Nov 2023

Media contributions

1

Media contributions

Title	Testing Artificial Intelligence Regulation: Is algorithmic transparency enough?
Degree of recognition	International
Media name/outlet	Psychology Today
Media type	Web
Date	27/11/23
URL	https://www.psychologytoday.com/intl/blog/decisions-in-context/202311/testing-artificial-intelligence-regulation
Persons	Nils Köbis, Margarita Leib, Rainer Michael Rilke, Marloes Hagens, Bernd Irlenbusch

Related content

Research output
Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty
Research output: Contribution to journal › Article › Academic › peer-review