AI is now an integral part of our daily lives, whether we’re using a smartphone or consulting online film recommendations. To understand its impact, it’s essential to know a few key figures and definitions: what exactly does “machine learning” or “neural network” mean? By offering an overview of the fundamental concepts, we hope to demystify AI and encourage everyone to discover its potential, whatever their discipline or level of knowledge.
-
Gartner’s Hype Cycle 2025: Artificial Intelligence beyond the hype
Artificial intelligence is entering a new era. According to Gartner’s latest Hype Cycle 2025 published in July 2025, attention is gradually shifting from enthusiasm for generative AI to a more…
-
AI at UNIL in figures
Some key figures to measure the importance of artificial intelligence at UNIL, in terms of research, teaching and expertise.
-
Scientific integrity and responsible use of generative AI in the academic context at UNIL
Reliability, honesty, respect and responsibility guide the use of generative AI at UNIL. Clear guidelines govern transparency, ethics, data, training and human decisions.
-
Generative AI: developing an understanding of its mechanisms to enable a critical and enlightened use
Benoît Garbinato, a professor at HEC Lausanne, explains the workings of generative AI and stresses the importance of a critical approach to its applications, limitations, and ethical concerns.
-
Legal issues in generative AI: navigating between innovation and regulation
Plagiarism, data, intellectual property: Professor Gilliéron sheds light on the legal grey areas of generative AI and their impact on higher education and academic practices.