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Learn more:Â If Adoption Is the Solution, Show Me the Structure
Primary Sources (Fontes Principais)
Key References Cited within the Sources (ReferĂȘncias Citadas)
Learn more:Â Morality as Cooperation (MAC): What Did Oliver Scott Curry Actually Discover?
An analysis of
Building a God: The Ethics of Artificial Intelligence and the Race to Control It
Book by Christopher DiCarlo
Learn more:Â Religious Omission or Cultural Projection?
A critique of
D. Wingate et al., âOmissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-Making,â arXiv preprint arXiv:2605.24319, 2026. doi: 10.48550/arXiv.2605.24319.
Learn more:Â When Representation Becomes Advocacy
Learn more: The âUtah Standardâ 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.2605.24319ÂThe 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 userâs 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.
Learn more: The âUtah Standardâ 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.2605.24319ÂThe 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 userâs 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.
Full interview:Â Atheist Mindset: In conversation with Gilles Ragnaud
From the publisher's feed
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 talkingâŠ