Conference "Generative AI in the legal field: a nuanced approach" by Karim BENYEKHLEF and Marina TELLER
Published on April 29, 2024–Updated on September 2, 2024
Dates
on the May 7, 2024
12 am
Location
Village by CA Provence Côte d'Azur
Rue Claude Daunesse
06560 VALBONNE
Marina TELLER, Professor at Université Côte d'Azur and Head of the professional graduate program "Lawyer Bank Finance", together with Karim BENYEKHLEF, Professor of Law Cyberjustice Laboratory at Université de Montréal, is organizing a conference on the theme: "Generative AI in the legal field: a nuanced approach".
Using concrete examples, Prof. Karim Benyekhlef's presentation aims to clarify the nature of generative AI, its distinctions from earlier approaches to artificial intelligence, and its current applications in the legal field or in other areas that can serve as a horizon for legal players.
Generative artificial intelligence, exemplified by content-generating models such as ChatGPT or more recently Google Gemini, is attracting keen interest around the world and promises to radically transform various sectors, including consulting and law.
While these developments are promising, it is crucial to take a nuanced view of its potential, in order to determine its real capabilities and thus establish the areas where human intervention remains preferable, if not imperative. Without this perspective, there is a risk of overestimating the capabilities of these models, leading to mediocre performance or even detrimental results.
This presentation aims to clarify the nature of generative AI, its distinctions from earlier approaches to artificial intelligence, as well as its current applications in the legal field or in other areas that may serve as a horizon for legal actors.
Drawing on concrete examples developed at the Université de Montréal's Cyberjustice Laboratory, recent empirical analyses conducted on the subject and more global reflections from Sciences and Technologies Studies, we will critically examine promising use cases for this technology, while highlighting the current limits and potential risks of content-generative models in the legal and justice sector.
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