Résumé :

This presentation addresses the relationship between ethics and artificial intelligence (AI), investigating how data-driven systems can impact multiple areas of society, from healthcare to justice, while raising fundamental ethical challenges. It also explores the risks of bias and discrimination in algorithms, tensions between privacy and surveillance, accountability in automated decision-making, and the effects of automation on the labor market. Additionally, it presents global ethical principles for AI — such as transparency, fairness, safety, and responsibility — and real-world cases that illustrate both benefits (e.g., medical diagnostics and inclusion) and problems (e.g., political misuse of data and discrimination in credit) of these principles. The concluding reflection emphasizes that the essential question is not whether AI will have ethics, but how society will make ethical choices in its development and use.