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The lab’s flagship project, AI Style, uses research from literary criticism, narratology and the digital humanities to bring a humanistic attention to the formal properties of text to AI research and development. The first research paper from the project, ‘”Written in the Style of”: ChatGPT and the Literary Canon’, is  in the Harvard Data Science Review.

Keeping You Close employs computational analysis alongside close reading to examine reader address in a corpus of over 3,000 nineteenth- and twentieth-century Anglophone novels. To “distant read” these interjections, Kirilloff employs a computational method that separates dialogue from narration and detects address at scale. Research from Keeping You Close has been published in .

Reading Minds uses machine learning to argue that descriptions of characters’ social behavior are central to the history of character realism, because of how they engage readers’ real-life social cognition. The project incorporates research and theory from literary studies, narratology, computer science, psychology and cognitive science to offer a new theory of character realism that takes into account the social psychology of the reader. Research from the Reading Minds project has been published in and is forthcoming in Digital Scholarship in the Humanities.