Operational AI Ethics

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The Operational AI Ethics program allows us to deal with the subject of bias and the explicability of algorithms in all its diversity, by bringing together complementary expertise well beyond our respective disciplines.
Stephan Clémençon, professor in applied mathematics and machine learning at Télécom Paris

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.

What our researchers say

To be reliable, a decision system must meet criteria of explainability in addition to performance criteria. We seek to integrate these criteria when learning these systems.
Florence d'Alché-Buc, professor in massive data processing and mining at Télécom Paris and holder of the Data Science and Artificial Intelligence for Digitalized Industry and Services chair

 

Hybrid approaches make it possible to combine symbolic AI (based on knowledge representation) and machine learning (especially from data) leading to a better explicability of algorithmic decisions.
Isabelle Bloch, professor in applied mathematics and artificial intelligence, in particular for spatial reasoning, at Télécom Paris

 

The European Commission and the regulators all want explainable algorithms, but the devil is in the detail. The questions that need to be answered are: for whom and why?
Winston Maxwell, director, law and technology studies at Télécom Paris

 

If, the explicability of algorithms is not necessarily necessary for an algorithm which plays chess, it becomes essential when it is about a critical system.
David Bounie, head of the Department of Economics and Social Sciences at Télécom Paris

Five research pillars

Algorithmic bias and fairness

Algorithmic explainability

AI and General Interest

AI liability

Governance and regulation

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.

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.

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