Panel: Large-scale neural platform models: Opportunities, concerns, and directions

Speakers: Eric Horvitz, Chief Scientific Officer, Microsoft Miles Brundage, Head of Policy Research, OpenAI Yejin Choi, Professor, University of Washington / AI2 Percy Liang, Associate Professor, Standord University Large-scale, pretrained neural models are driving significant research and development across multiple AI areas. They have played a major role in research efforts and have been at the root of leaps forward in capabilities in natural language processing, computer vision, and multimodal reasoning. Over the last five years, large-scale neural models have evolved into platforms where fixed large-scale “platform models” are adapted via fine-tuning to develop capabilities on specific tasks. Research continues, and we have much to learn. While there is excitement about demonstrated capabilities, the “models as platforms” paradigm is concurrently raising questions and framing discussions about a constellation of concerns. These include challenges with safety and responsibility in regar