65. Daniel Kondor - CSH - The long term impact of AI on society
From Austrian Artificial Intelligence Podcast by Manuel Pasieka
February 11, 2025 · 1h 5m · Season 4 · Episode 65
About this episode
Daniel Kondor discusses the long-term impact of AI on society and research methods in computational social science.
Guest in this episode is the Computational Social Scientist Daniel Kondor, Postdoc at the Complexity Science Hub in Vienna. Daniel is talking about research methods that make it possible to study the impact of various factors like technological development on societies; and in particular their rise or fall, over long periods of time. He explain how modern tools from computational social science, like agent based modelling can be used to study past and future social groups. We talk about his most recent publication that takes a complex systems perspective on the risk AI poses for society and provided suggestions on how to manage such risks through public discourse and involvement of affected competency groups. ## References - Waring TM, Wood ZT, Szathmáry E. 2023 Characteristic processes of human evolution caused the Anthropocene and may obstruct its global solutions. Phil. Trans. R. Soc. B 379: 20220259. https://doi.org/10.1098/rstb.2022.0259 - Kondor D, Hafez V, Shankar S, Wazir R, Karimi F. 2024 Complex systems perspective in assessing risks in artificial intelligence. Phil. Trans. R. Soc. A 382: 20240109. https://doi.org/10.1098/rsta.2024.0109 - https://seshat-db.com/
People in this episode
Host: Manuel Pasieka
Guest: Daniel Kondor
Topics covered
- AI impact on society
- computational social science
- agent based modelling
- risk management
- public discourse
Keywords
- AI
- society
- computational social science
- agent based modelling
- risk management
Mentioned in this episode
Organizations: Complexity Science Hub, seshat-db.com
Books & works: Phil. Trans. R. Soc. B, Phil. Trans. R. Soc. A
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