In this episode, we dive into a key paper that explores in depth the risks associated with the use of generative artificial intelligence (GAI) in business, particularly large-scale language models (LLMs) like ChatGPT. The paper identifies three main sources of risk: the data, the model and the human.

We discuss the potential legal, financial, operational, organizational, social and environmental consequences of these risks, while analyzing how LLM can transform companies and their processes.

Finally, we review the remediation measures proposed to minimize these risks, whether they involve protecting data, limiting the generation of unwanted content, securing models against attack or raising user awareness. An essential episode for professionals and decision-makers seeking to understand and master the challenges of AI in an enterprise context.