The interaction between large language models and the world
This lecture marks the fourth of five lectures under the banner of Generative AI Conversations. These lectures aim to address the challenges posed by generative AI, including its implications for the functioning within our university. More specifically, this talk will look at how large language models communicate with its users and the world.
Practical information:
Georganiseerd door:
With Vincent Ginis and Andres Algaba
Organized by Professor Vincent Ginis, VUB AI steward, and Guest Professor Andres Algaba, generative AI coordinator, this series aims to articulate the VUB's guidelines on the emergent technology. Prepare for an in-depth exploration of generative AI's mechanics, its practical applications, and the ethical considerations it raises, including data privacy and biases.
For the entire VUB Community
The Generative AI Conversations are open to the entire VUB community, including students, faculty, research, administrative, and technical staff. Each session features a presentation complemented by testimonials and a panel discussion, fostering a rich dialogue on generative AI.
Accessible in person or online
Held in building I, room I.0.03 at the VUB Main Campus, the lectures offer the flexibility to participate in person or online, ensuring everyone has a chance to engage with these discussions.
A series of 5 lectures about the best use of AI
The Generative AI Conversations are organized by Professor Vincent Ginis and visiting Professor Andres Algeba, who are respectively the VUB's artificial intelligence officer and coordinator in generative AI. The purpose of these lectures is to clarify and concretize the VUB's guidelines on the use of this new technology. Attendees can expect a thorough explanation of various aspects of generative AI, including how they operate, their effective use, and ethical considerations surrounding data privacy and biases, among others.
The Generative AI Conversations are aimed at the entire VUB community, including students, faculty, researchers, administrative, and technical staff. Each session includes a presentation, supplemented with testimonials and a panel discussion.
