『Geek Stuff | Jorge Pires | podcast』のカバーアート

Geek Stuff | Jorge Pires | podcast

Geek Stuff | Jorge Pires | podcast

著者: Jorge Guerra Pires Ph.D.
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This is my personal and professional podcast. Geek Stuff | Jorge Pires | podcastScientific Discussion in Plain EnglishLike Joe from Friends(*), learn once and for all what those geeks are talking aboutLearn about several awesome things about science, and more!===(*) except, we are going to learn all the alphabet😂😂😂

© 2026 Geek Stuff | Jorge Pires | podcast
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  • Why AI ignores religion in a crisis
    2026/06/06

    Learn more: Religious Omission or Cultural Projection?

    A critique of

    D. Wingate et al., “Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-Making,” arXiv preprint arXiv:2605.24319, 2026. doi: 10.48550/arXiv.2605.24319.

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    38 分
  • Why your AI won't mention God
    2026/06/05

    Learn more: When Representation Becomes Advocacy


    Learn more: The “Utah Standard” for a Global Tool, The Demographic Dissonance

    A critique of

    Wingate, D., Carty, S., Coates, J., Feldman, D., Fulda, N., Howell, L., Israelson, B., Jacobs, D., Karr, J., Kimes, J. P., Kincaid, E., Martens, P., Mobley, G., Pinheiro, S., Slemboski, L., & Whiting, P. (2026). Omissive bias in religious representation: Benchmarking LLM answers to everyday ethical decision-making. arXiv. https://doi.org/10.48550/arXiv.2605.24319


    The paper argues that large language models underrepresent religion in responses to everyday ethical and existential questions. This critique questions whether such omission is evidence of bias or a consequence of a deliberate design principle: not presuming a user’s religious beliefs. It further examines the methodological assumptions underlying the benchmark and asks whether introducing religion into otherwise non-religious conversations would promote inclusivity or merely amplify the influence of dominant religious traditions in global AI systems.

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    49 分
  • Should AI chatbots offer religious advice?
    2026/06/05

    Learn more: The “Utah Standard” for a Global Tool, The Demographic Dissonance

    A critique of

    Wingate, D., Carty, S., Coates, J., Feldman, D., Fulda, N., Howell, L., Israelson, B., Jacobs, D., Karr, J., Kimes, J. P., Kincaid, E., Martens, P., Mobley, G., Pinheiro, S., Slemboski, L., & Whiting, P. (2026). Omissive bias in religious representation: Benchmarking LLM answers to everyday ethical decision-making. arXiv. https://doi.org/10.48550/arXiv.2605.24319


    The paper argues that large language models underrepresent religion in responses to everyday ethical and existential questions. This critique questions whether such omission is evidence of bias or a consequence of a deliberate design principle: not presuming a user’s religious beliefs. It further examines the methodological assumptions underlying the benchmark and asks whether introducing religion into otherwise non-religious conversations would promote inclusivity or merely amplify the influence of dominant religious traditions in global AI systems.

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    56 分
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