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Groh, Matthew, Aruna Sankaranarayanan, Andrew Lippman, and Rosalind Picard. "Human detection of political deepfakes across transcripts, audio, and video." arXiv preprint arXiv:2202.12883 (2022).
Groh, Matthew, Caleb Harris, Roxana Daneshjou, Omar Badri, and Arash Koochek. "Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm." CSCW (2022).
Groh, Matthew. "Identifying the Context Shift between Test Benchmarks and Production Data." arXiv preprint arXiv:2207.01059 (2022).
Groh, Matthew, Craig Ferguson, Robert Lewis, and Rosalind W. Picard. "Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving." In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 1-8. IEEE, 2022.
Danry, Valdemar, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, and Pattie Maes (Under review). “Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making.” Extended Abstract. Presented at the International Conference on Computational Social Science (IC2S2) 2022.
Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind Picard. "Deepfake detection by human crowds, machines, and machine-informed crowds." Proceedings of the National Academy of Sciences Jan 2022, 119 (1) e2110013119; DOI: 10.1073/pnas.2110013119
Epstein, Ziv, et al. "Social influence leads to the formation of diverse local trends." Proceedings of the ACM on Human-Computer Interaction 5.CSCW2 (2021): 1-18.
Robert Lewis, Yuanbo Liu, Matthew Groh and Rosalind Picard, "Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits" HCI International 2021
Lewis, Robert, et al. "Shaping Habit Formation Insights with Shapley Values: Towards an Explainable AI-system for Self-understanding and Health Behavior Change." CHI 2021 Workshop Paper. Realizing AI in Healthcare: Challenges Appearing in the Wild.
Frank, Morgan R., David Autor, James E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman, et al. “Toward Understanding the Impact of Artificial Intelligence on Labor.” Proceedings of the National Academy of Sciences, March 25, 2019, 201900949. https://doi.org/10.1073/pnas.1900949116.