Moral Games

How Nils started working at the intersection of AI and corruption

Start discussing 'Bad machines corrput good morals'

Start discussing Nils's papers on whether people can detect AI-generated poems and videos

Learning to say no and to not get sidetracked

Writing a PhD thesis

Nils Köbis is a research scientist at the Max Planck Institute for Human Development, where he studies the intersection of AI and corruption. In this conversation, we talk about how Nils got into working on this topic, and some of his recent papers on AI, corruption, deepfakes, and AI poetry. BJKS Podcast is a podcast about neuroscience, psychology, and anything vaguely related, hosted by Benjamin James Kuper-Smith. In 2022, episodes will appear irregularly, roughly twice per month. Timestamps 0:00:04: Moral Games 0:13:09: How Nils started working at the intersection of AI and corruption 0:30:12: Start discussing 'Bad machines corrput good morals' 1:01:00: Start discussing Nils's papers on whether people can detect AI-generated poems and videos 1:25:59: Learning to say no and to not get sidetracked 1:31:05: Writing a PhD thesis Podcast links<ul><li>Website: <a href="https://geni.us/bjks-pod">https://geni.us/bjks-pod</a></li><li>Twitter: <a href="https://geni.us/bjks-pod-twt">https://geni.us/bjks-pod-twt</a></li></ul>Nils's links<ul><li>Website: <a href="https://geni.us/koebis-web">https://geni.us/koebis-web</a></li><li>Google Scholar: <a href="https://geni.us/koebis-scholar">https://geni.us/koebis-scholar</a></li><li>Twitter: <a href="https://geni.us/Koebis-twt">https://geni.us/Koebis-twt</a></li></ul>Ben's links<ul><li>Website: <a href="https://geni.us/bjks-web">https://geni.us/bjks-web</a></li><li>Google Scholar: <a href="https://geni.us/bjks-scholar">https://geni.us/bjks-scholar</a></li><li>Twitter: <a href="https://geni.us/bjks-twt">https://geni.us/bjks-twt</a></li></ul> References &amp; links Moral Games (in German): <a href="https://geni.us/moral-games">https://geni.us/moral-games</a> Nils's podcast KickBack: <a href="https://www.icrnetwork.org/what-we-do/kickback-global-anticorruption-podcast/">https://www.icrnetwork.org/what-we-do/kickback-global-anticorruption-podcast/</a> Replika AI app: <a href="https://replika.com/">https://replika.com/</a> Science fiction science: <a href="https://www.mpib-berlin.mpg.de/chm/guiding-concepts/concept-2-science-fiction-science">https://www.mpib-berlin.mpg.de/chm/guiding-concepts/concept-2-science-fiction-science</a> Collingridge dilemma: <a href="https://en.wikipedia.org/wiki/Collingridge_dilemma">https://en.wikipedia.org/wiki/Collingridge_dilemma</a> GPT-3: <a href="https://openai.com/api/">https://openai.com/api/</a> Fotos of people who don't exist: <a href="https://thispersondoesnotexist.com/">https://thispersondoesnotexist.com/</a> Abdalla &amp; Abdalla 2021. The Grey Hoodie Project: Big tobacco, big tech, .... Proc of 2021 AAAI/ACM Conf. Crandall ... 2018. Cooperating with machines. Nat Comm. Goffman 1959. The Presentation of Self in Everyday Life Harari 2016. Homo Deus: A brief history of tomorrow. Hawking 2018. Brief answers to the big questions. Kehlmann 2021: Mein Algorithmus und ich. Köbis ... 2021. Bad machines corrupt good morals. Nat Hum Behav. Köbis ... 2021. Fooled twice: People cannot detect deepfakes but think they can. Iscience. Köbis &amp; Mossink, 2021. Artificial intelligence versus Maya Angelou... . Comp in hum behav. Köbis ... 2022. The promise and perils of using artificial intelligence to fight corruption. Nat Mach Intell. Leib ... 2021. The corruptive force of AI-generated advice. arXiv. Leib ... 2021. Collaborative dishonesty: A meta-analytic review. Psych Bull. Mnih ... 2015. Human-level control through deep reinforcement learning. Nature. Rahwan ... 2019. Machine behaviour. Nature. Silver ... 2016. Mastering the game of Go with deep neural networks and tree search. Nature. Tegmark 2017. Life 3.0: Being human in the age of artificial intelligence.

62. Nils Köbis: AI, corruption, and deepfakes