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Nils Köbis

As seen in: KickBack - The Global Anticorruption Podcast, Nature, Wiley Online Library, arXiv, Los Angeles Times, Memory Studies, PLOS, Psychology Today, SAGE Publishing, Scientific American, Pioneer Press and
Professor for Human Understanding of Algorithms and Machines @RCTrustworthy Co-founder of @KickBackGAP & @ICR_Network Basketball- and Anticorruption-nerd
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Articles

A reporting checklist for large language models in behavioural science

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By Stefan Feuerriegel, Christopher Barrie, M. J. Crockett, Laura K. Globig, Killian McLoughlin, Dan-Mircea Mirea, Arthur Spirling, Diyi Yang, Tim Althoff, Maria Antoniak, Lisa P. Argyle, Ashwini Ashokkumar, Mohammad Atari, Hannah Bailey, Kevin Bauer, Umang Bhatt, Yidong Chai, Tanmoy Chakraborty Verified, Yanto Chandra, Huimin Chen, Hal Daumé III, Gianmarco De Francisci Morales, Morteza Dehghani, Danica Dillion, Johannes C. Eichstaedt, Kerstin Förster, Dominique Geissler, Kurt Gray, Thomas L. Griffiths, Hartmann Jochen, Oliver Hauser, James He, Rahul Hemrajani, Felix Holzmeister, Angel Hsing-Chi Hwang, Tiancheng Hu, Anna Ivanova, Nils Köbis, Yara Kyrychenko, Himabindu Lakkaraju, Jia Liu, Abdurahman Maarouf, Sebastian Maier, Lennart Meincke, Rada Mihalcea, Brent Mittelstadt, Saif M. Mohammad, Mor Naaman, Oded Netzer, Alice Oh, Desmond C. Ong, Francesco Pierri, Barbara Plank, Iyad Rahwan, Talal Rahwan, Pooja Rao, Claire Robertson, David Rothschild, Matthew Salganik, Eric Schulz, Chirag Shah, Yash Shrestha, Ekaterina Shutova, Alexandra Siegel, Almog Simchon, Huan Sun, Malte Toetzke, Jay Van Bavel, Michelle Vaccaro, Jennifer Vaughan, Effy Vayena, Pedro O. S. Vaz-de-Melo, Briana Vecchione, Angelina Wang, Robert West, Robb Willer, Dirk U. Wulff, Renwen Zhang, Simone Zhang, Steve Rathje, Manoel Horta Ribeiro
| Nature Verified
Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve transparency, reproducibility and ethical accountability of large-language-model-based research in the behavioural sciences. You have full access to this article via your institution.
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Delegation to artificial intelligence can increase dishonest behaviour - Nature

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By Nils Köbis, Zoe Rahwan, Clara Bersch, Jean-François Bonnefon, Raluca Rilla
| Nature Verified
Abstract Although artificial intelligence enables productivity gains from delegating tasks to machines1, it may facilitate the delegation of unethical behaviour2. This risk is highly relevant amid the rapid rise of ‘agentic’ artificial intelligence systems3,4. Here we demonstrate this risk by having human principals instruct machine agents to perform tasks with incentives to cheat.
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[2507.19487] Does AI and Human Advice Mitigate Punishment for Selfish Behavior? An Experiment on AI ethics From a Psychological Perspective

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By Nils Köbis, Ivan Soraperra
| arXiv
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