Past Member

Matthew Groh

Former Research Assistant
Groups
Publication

Deep learning-aided decision support for diagnosis of skin disease across skin tones

Groh, M., Badri, O., Daneshjou, R. et al. Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat Med (2024). https://doi.org/10.1038/s41591-023-02728-3

Publication

Art and the science of generative AI

Epstein, Hertzmann, et al. "Art and the science of generative AI." Science 380.6650 (2023): 1110-1111.

Publication

Human detection of political deepfakes across transcripts, audio, and video

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).

Publication

Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm

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).

Publication

Identifying the Context Shift between Test Benchmarks and Production Data

Groh, Matthew. "Identifying the Context Shift between Test Benchmarks and Production Data." arXiv preprint arXiv:2207.01059 (2022).

Publication

Computational Empathy Counteracts the Effects of Anger on Human Creative Problem Solving

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.

Publication

Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making

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.

Publication

Deepfake detection by human crowds, machines, and machine-informed crowds

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

Publication

Social Influence Leads to the Formation of Diverse Local Trends

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.

Publication

Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits

Robert Lewis, Yuanbo Liu, Matthew Groh and Rosalind Picard, "Habit Formation Dynamics: Finding Factors Associated with Building Strong Mindfulness Habits" HCI International 2021

Publication

Shaping Habit Formation Insights with Shapley Values: Towards an Explainable AI-system for Self-understanding and Health Behavior Change

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.

Publication

Toward understanding the impact of artificial intelligence on labor

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.