Tiphaine Viard
Assistant professor at Telecom Paris, Institut Polytechnique de Paris.
Office 3A319
19 place Marguerite Perey
Palaiseau
Hi! I’m Tiphaine Viard, a maîtresse de conférences (~associate professor) in the Digital technologies, organisation and society team at Telecom Paris.
I am interested in working on artificial intelligence and data analysis from a sociotechnical perspective. My main methods are graph analysis and computational sociology.
Currently, my main focus is on charting artificial intelligence, eliciting the relations betweeen concepts, persons and institutions over time.
You can find more information about my current projects, the courses I teach in or my complete CV. You can also follow me on Mastodon to get a more “day-to-day” version of my work.
Current PhD supervisions:
- Simon Delarue (2021-), co-supervised (50%) with Thomas Bonald,
- Mélanie Gornet (2021-), co-supervised (25%) with Winston Maxwell and Florence d’Alché-Buc,
- Lilian Marey (2024-), co-supervised (30%) with Charlotte Laclau and Bruno Sguerra.
news
May 24, 2024 | Mélanie Gornet will be at FAccT’2024 to discuss our work on mapping the AI ethics landscape! |
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Dec 12, 2023 | I will be going to Undone Computer Science in February to present with Simon Delarue and Mélanie Gornet. See you in Nantes! |
Oct 16, 2023 | I am invited to give a talk on Generative AI and fake news at the french Académie des Technologies |
Jul 10, 2023 | Mélanie Gornet and myself will be holding a seminar at the European Council, titled “Reading the AI Act with a technical lens” |
Apr 22, 2023 | I will be in Hamburg all week to discuss our work at the CHI’23 conference! |
selected publications
- ECAI’24Link prediction without learningEuropean Conference on Artificial Intelligence 2024
- FAccT’24Mapping AI ethics: a meso-scale analysis of its charters and manifestosACM Conference on Fairness, Accountability and Transparency 2024
- CHIOn Selective, Mutable and Dialogic XAI : a Review of What Users Say about Different Types of Interactive ExplanationsACM Conference on Human Factors in Computing Systems (CHI) 2023
- SNAMStream graphs and link streams for the modeling of interactions over timeSocial Network Analysis and Mining 2018