Téo Sanchez

I am a postdoctoral researcher specializing in human-AI interaction. I earned my Ph.D. as a member of the ExSitu research team in LISN, and the HCI team in ISIR.
My primary focus is on understanding how people comprehend and interact with AI systems, alongside designing meaningful and effective interactions with machine learning algorithms.
In particular, my work focuses on understanding and developing teachable ML systems that enable users to simultaneously generate the knowledge data of interest and experience the model’s predictions and improvements. This approach creates simultaneous usage and development and can potentially advance more personalized and transparent AI systems for non-expert users in AI, either for pedagogy or in niche domains (e.g., science, medecine, arts).
📰 News
May 19, 2023 | 🏅 Very excited to learn that Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs? got an honorable mention at C&C 2023! |
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Apr 11, 2023 | Our research paper Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs? with Selas Studio is conditionally accepted at C&C 2023. Camera-ready version coming soon ! |
Mar 15, 2023 | 🏆 Won best HCI dissertation award from AFIHM! The manuscript is now available. See you at the 34th conference IHM 2023 in Troyes, France, to present my doctoral work! |
Jan 1, 2023 | I will be talking on the 12th and 13th of January 2023 to the “Machine Teaching for Humans: Rethinking Example-Based Explanations” (MT4H-2023) workshop in Funchal, Madeira, Portugal. |