Sign up to save your podcasts
Or
Share Should AI chatbots offer religious advice?
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Should AI chatbots offer religious advice?
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.2605.24319The 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.
View all episodes
By Jorge Guerra Pires, Ph.D.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.2605.24319The 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.