Tom publishes article on Religion and Racial Bias in Artificial Intelligence Large Language Models
Posted: 10/8/2025 (CSDE Research)
CSDE External Affiliate Joshua Tom (Seattle Pacific) and co-authors recently published an article titled, “Religion and Racial Bias in Artificial Intelligence Large Language Models” in Socius. Tom and co-authors examine if LLMs hold implicit assumptions with regard to religious identities by prompting LLMs to generate religious sermons, specifying different combinations of race and religious tradition of the clergyperson. Evangelical Protestant pastors had easier to read AI–generated sermons, whereas Jewish rabbis and Muslim imams had more difficult to read synthetic texts. To read more, click here.