17 citations · 28 across the 3 of their papers we have counts for
4 papers
Lie detection algorithms attract few users but vastly increase accusation rates
Alicia von Schenk, Victor Klockmann, Jean-François Bonnefon +2
People are not very good at detecting lies, which may explain why they refrain from accusing others of lying, given the social costs attached to false accusations - both for the ac…
Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches
Nils Köbis, Christopher Starke, Iyad Rahwan
Corruption continues to be one of the biggest societal challenges of our time. New hope is placed in Artificial Intelligence (AI) to serve as an unbiased anti-corruption agent. Eve…
The corruptive force of AI-generated advice
Margarita Leib, Nils C. Köbis, Rainer Michael Rilke +2
Artificial Intelligence (AI) is increasingly becoming a trusted advisor in people's lives. A new concern arises if AI persuades people to break ethical rules for profit. Employing…
Artificial Intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
Nils Köbis, Luca Mossink
The release of openly available, robust natural language generation algorithms (NLG) has spurred much public attention and debate. One reason lies in the algorithms' purported abil…