CHI 2023 Conference Highlights
Design interaction perception, Faculty Members — 22/05/2023The 2023 CHI (pronounced Kaï) conference on Computer and Human Interaction welcomed researchers from around the world in [...]Human–where–in the loop?
Digital Economy — 24/03/2023The new AI and finance 2023 cycle opened on the theme of the human in the loop to discuss the place of the human in the life cycle of machine [...]AI and anti-discrimination law
Data Science & AI — 30/11/2022Prof. Sandra Wachter examines the tension between AI used in decision-making processes and the rationale of Western anti-discrimination law.Clarifying the moral foundation of explainable AI
Data Science & AI — 14/11/2022The ‘unpacking’ characteristic of XAI is one of the reasons it has subsequently been argued to increase the [...]Transatlantic Dialogue on Humanity and AI Regulation conference
Data Science & AI, Digital Economy — 13/05/2022The Transatlantic Dialogue on Humanity and AI Regulation brought together scholars and experts [...]

An interdisciplinary team
Our interdisciplinary team federates six academic fields (applied math, statistics, computer science, economics, law and sociology) around the ethical issues raised by artificial intelligence.
- Florence d’Alché-BucProfessor
IDS dept. head (Sept. 2021) - Holder of the Data Science and Artificial Intelligence for Digitalized Industry and Services Chair - Albert BifetProfessor
- Isabelle BlochProfessor
- Thomas BonaldProfessor
- David BounieProfessor
Head of the Department of Economics and Social Sciences, Head of the Digital Finance Chair - Chloé ClavelProfessor
- Stephan ClémençonProfessor
- Jean-Louis DessallesAssociate Professor
- James EaganAssociate Professor
- Winston MaxwellProfessor
- Pavlo MozharovskyiAssociate Professor
- Fabian M. SuchanekProfessor
Head of the NoRDF Chair - Tiphaine ViardAssociate Professor
Five research pillars
Algorithmic bias and fairness
Algorithmic explainability
AI and General Interest
AI liability
Governance and regulation
Blog
Training offers
The production of data from networks, connected objects, sensors or industrial processes has largely contributed to the digital transition of companies, which now consider data as a resource in its own right. All of a company’s activities and jobs have now been impacted, resulting in a growing need for training for teams and managers. Télécom Paris offers a variety of training options tailored to meet all needs.
Post-Master’s Degrees
Specialized Studies Certificates
Télécom Évolution offers two specialized studies certificates, Data Scientist and Artificial Intelligence, both of which are delivered by Télécom Paris, with contributions from ENSTA Paris for the second certificate. In collaboration with École polytechnique d’Assurance, it offers an Executive MBA Data Scientist for Insurance Careers.
Télécom Évolution also offers many inter-company training courses as well as the MOOC, The Basics of Big Data, which enrolls 7,000 learners every session.
Short training
Télécom Evolution offers the short training course The ethical challenges of artificial intelligence. This 2-day training course provides an overview of the main ethical, legal and societal issues surrounding AI.
Upcoming events
- Pas d’évènements prévus actuellement.No events currently scheduled.