L'IA consciente n'est plus une utopie
Is there still time to prepare? A lucid outlook on the emergence of conscious artificial intelligence and its ethical implications.
PhD in Digital Ethics
AI expert, author of 11 books, associate researcher at CERPOP–Inserm. Co-founder of GoodAlgo, pioneer of the Ethics by Evolution concept.
PhD in digital ethics, co-founder and CEO of GoodAlgo, a professional services and consulting firm specialising in Data Science & Artificial Intelligence and Digital Ethics.
Scientific expert in AI & Ethics for the EuropIA Institute, he is also an associate researcher (PhD) at CERPOP – Inserm, University of Toulouse 3.
His research focuses on the ethical approach to the digital revolution, centred on the concept of Ethics by Evolution.
His two most recent books on this subject are: "Quand l'Intelligence Artificielle s'éveillera" (Le Passeur, 2020) and "La responsabilité sociétale de l'Intelligence Artificielle" (ISTE Éditions, 2021).
He sits on several scientific and ethics committees within national private and public organisations, notably the Digital Health Council. He is also a Board Member of the Fondation Persée, dedicated to innovation in oncological research.
Watch Jérôme Béranger at TEDx conferences, on podcasts and in specialist media.
Is there still time to prepare? A lucid outlook on the emergence of conscious artificial intelligence and its ethical implications.
Towards an ethical and eco-responsible AI. Volume 4 of the "Technological Prospective and Social Application" series.
A logbook of reflections on the awakening of machines: "AI without ethics is merely the ruin of humanity."
An ethical approach to digital transformation applied to healthcare and the medicine of tomorrow.
English edition: placing ethics at the heart of the digital revolution in healthcare systems.
Ethics at the bedside of the digital revolution: laying the foundations for responsible and transparent algorithms.
English edition: an ethical framework for governing algorithms and artificial intelligence.
The case of the medical datasphere: ethical issues in the collection and use of mass data.
Thinking through the ethics of health information systems, balancing trust, security and respect for the patient.