Robustly Beneficial Podcast

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Robustly Beneficial Podcast

Every week, we discuss a paper relevant to AI ethics. We try to explain the key ideas, to highlights the limits of the paper and to suggest further research questions related to the paper.

  1. 05/10/2020

    The Social Dilemma #RB23

    #TheSocialDilemma is a recent Netflix documentary on the concerning side effects of social medias and recommandation algorithms on mental health, political manipulation and misinformation, among other issues. We discuss the documentary, and our disagreements with the documentary's take. The documentary: https://www.netflix.com/watch/81254224 A 2020 philosophy paper on "Recommender systems and their ethical challenges", published at "AI and Society" by Silvia Milano, Mariarosaria Taddeo & Luciano Floridi. https://link.springer.com/article/10.1007/s00146-020-00950-y

    55 min

  2. 27/09/2020

    The Complexity of Agreement #RB22

    In this episode, we discuss The Complexity of Agreement (https://arxiv.org/abs/cs/0406061), published by Scott Aaronson in the Symposium on the Theory of Computing, we also go beyond the paper to discuss the various forms several communities from game theory (social choice) and distributed computing (the study of Consens) tried to mathematically formalise the intractable question of agreement and communication.

    28 min

  3. 02/08/2020

    Computable philosophy #RB21

    Lê, Mahdi and Louis discuss a class proposal by Lê and Mahdi on computable philosophy. The video provides a brief overview of some of the contents of the class proposal, including the relation between laws and algorithms, the need for learning, probabilistic thinking, privacy and fairness.

    52 min

  4. 25/07/2020

    The online competition between pro- and anti-vaccination views #RB20

    Lê, Mahdi and Louis discuss information and disinformation related to vaccines on social media and what can be done to improve the current situation. Specifically focusing on the analysis and results from the paper "The online competition between pro- and anti-vaccination views" by Johnson & al. (https://www.nature.com/articles/s41586-020-2281-1.pdf)

    26 min

  5. 08/07/2020

    Stanford Encyclopaedia of Philosophy Entry on Ethics of Artificial Intelligence - #RB19

    In this episode, we discuss the entry on ethics of artificial intelligence and robotics in the Stanford encyclopaedia of philosophy: https://plato.stanford.edu/entries/ethics-ai/

    39 min

  6. 20/06/2020

    Does increasing diversity reduce polarization? #RB18

    Exposure to opposing views on social media can increase political polarization. Christopher A. Baila, Lisa P. Argyleb , Taylor W. Browna , John P. Bumpusa , Haohan Chenc , M. B. Fallin Hunzakerd , Jaemin Leea , Marcus Manna , Friedolin Merhouta , and Alexander Volfovsky, PNAS 18. https://www.pnas.org/content/115/37/9216

    18 min

  7. 11/06/2020

    The Philosophical Aspects of Computing and Complexity #RB17

    In this episode we discuss the philosophical aspect of computing and share what we learned from Scott Aaronson's essay: Why Philosopher Should Care About Computational Complexity (https://www.scottaaronson.com/papers/philos.pdf)

    1 h 4 min

  8. 03/06/2020

    Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims (BAWB+2020) #RB16

    In this episode, we discuss a recent collaborative report on trustworthy artificial intelligence development. To read the report: https://www.towardtrustworthyai.com/

    48 min
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À propos

Every week, we discuss a paper relevant to AI ethics. We try to explain the key ideas, to highlights the limits of the paper and to suggest further research questions related to the paper.

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