For my first work as a visiting scholar at IBM, I co-wrote this with a long-time collaborator in pain research. It's a narrative piece examining various emerging pain research methods, and highlights technical and human-centered features that pose challenges to patients, researchers and clinicians. It was a welcome opportunity for me to study some methods that I have not personally used in more depth, and to consider how pain research could benefit from cross-disciplinary perspectives.

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Berger, Sara E., and Alexis T. Baria. "Assessing pain research: a narrative review of emerging pain methods, their technosocial implications, and opportunities for multidisciplinary approaches." Frontiers in Pain Research (2022): 82.

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The paper below is my first project as an independent researcher. I began studying the social implications of AI shortly after becoming an industry data scientist, and I continue to question what it means to make "responsible technology." While studying metaphor comprehension with other lyricists at the Society of Spoken Art, I began to see patterns in the ways that neuroscientists discuss brains in terms of computers, and vice versa, and decided to do some more in-depth research on how that might influence the use of AI-labeled tech. This work is the first piece of what I intend to be a multi-piece project.

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Baria, Alexis T., and Keith Cross. "The brain is a computer is a brain: neuroscience's internal debate and the social significance of the Computational Metaphor." arXiv preprint arXiv:2107.14042 (2021).