Shedding some light on black box algorithms
Data Science & AI, Faculty Members — 07/04/2021Winston Maxwell, legal researcher, and Florence d’Alché-Buc, researcher in machine learning, both at Télécom Paris, [...]
Open research positions in AI ethics
Digital Trust, Data Science & AI — 31/03/2021Télécom Paris, France’s leading engineering school for digital technology, is looking for PhD candidates and [...]
#TélécomiennesInTech - Testimonial on the place of women in the digital world
— 26/03/2021Valérie Beaudouin, professor in the SES department at Télécom Paris, Institut Polytechnique de Paris and part [...]
Data sharing issues in the finance industry
Digital Economy — 22/03/2021The 3rd session of AI and finance with the ACPR and Télécom Paris tackled data sharing issues in the finance industry. This seminar [...]
Interpretability, Accountability and Robustness in Machine Learning
Digital Trust, Data Science & AI — 16/02/2021Nowadays, data science, machine learning, artificial intelligence based solutions being [...]
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
Holder of the Data Science and Artificial Intelligence for Digitalized Industry and Services Chair
Valérie BeaudouinProfessor
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
Stéphan ClémençonProfessor
Jean-Louis DessallesAssociate Professor
James EaganAssociate Professor
Winston MaxwellProfessor
Pavlo MozharovskyiAssociate Professor
Fabian 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
- 17/5/2021
Les lundis de l’IA et de la finance avec l’ACPR
Fourth conference of the Lundis de l'IA et de la finance cycle (Mondays of AI and Finance), with the ACPR - Banque de France and Télécom Paris. - 26/5/2021
Paris Webinar on Financial Technology and Crypto
The next session of the Paris Fintech and cryptofinance webinar will take place on Wednesday, May 26th from 2pm to 4pm Paris Time. The webinar on "Equity Crowdfunding" will be moderated by Armin [...]
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