Director of Rights and Digital Studies at Télécom Paris (IP Paris)
AI is not outside the law. Whether its RGPD for personal data, or sector-specific regulations in the health, finance, or automotive sectors, existing regulations already apply.
In Machine Learning (ML), algorithms are self-created and operate in a probabilistic manner. Their results are accurate most of the time, but risk of error is an unavoidable characteristic of this type of model.
A challenge for the future will be to surround these very powerful probabilistic systems with safeguards for tasks like image recognition.
Upcoming EU AI regulations in the form of the “AI Act” will require compliance testing and ‘CE’ marking for any high-risk AI systems put on the market in Europe.
Professor emeritus in Philosophy of Science at Sorbonne Université
Professor of Computer Science at Université de Lorraine
PhD in Neuroscience and Data Science Manager at Ekimetrics
Artificial intelligence and human intelligence are inevitably compared.
This confrontation is intrinsic to the history of AI: some approaches are inspired by human cognition, while others are completely independent from it.
The imprecise and controversial definition of intelligence makes this comparison vague.
Consciousness remains one of the main elements that AI seems to lack in order to imitate human intelligence.
The question of comparison in fact raises ethical issues about the use, purpose and regulation of AI.
Sophy Caulier has a degree in Literature (University Paris Diderot) and in Computer science (University Sorbonne Paris Nord). She began her career as an editorial journalist at 'Industrie & Technologies' and then at 01 Informatique. She is now a freelance journalist for daily newspapers (Les Echos, La Tribune), specialised and non-specialised magazines and websites. She writes about digital technology, economics, management, industry and space. Today, she writes mainly for Le Monde and The Good Life.