AI is transforming every industry, from medicine to film to finance. So, why not use it to study one of the world's most revered ancient texts, the Bible? An international team of researchers, including Shira Faigenbaum-Golovin, assistant research professor of Mathematics at Duke University, combined artificial intelligence, statistical modeling and linguistic analysis to address one of the most enduring questions in biblical studies: the identification of its authors. The study is published in the journal PLOS One. Analyzing Subtle Variations Through AI: Usage and Variations By analyzing subtle variations in word usage across texts, the team was able to distinguish between three distinct scribal traditions (writing styles) spanning the first nine books of the Hebrew Bible, known as the Enneateuch
