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.
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Artificial intelligence survey at UNIL: widespread use and clear expectations
UNIL conducted a survey on the use of AI within its community. It shows widespread adoption of AI alongside strong expectations regarding ethics, data protection, and training.
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A glance in numbers for the use of Artificial Intelligence at the University of Lausanne
A few key figures to assess the role of artificial intelligence at UNIL, across research, teaching, and expertise, and to better understand its current impact.
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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.
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Generative AI: developing an understanding of its mechanisms to enable a critical 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.
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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.