Events

Fine-tuning games: Modeling the Ecosystem of Machine Learning Applications and their Development

Speaker: Ben Laufer

Location: 60 Fifth Avenue, Room 7th floor common area

Date: Wednesday, January 31, 2024

Advances in machine learning (ML) and artificial intelligence (AI) increasingly take the form of developing and releasing general-purpose models. These models are designed to be adapted by other businesses and agencies to perform a particular, domain-specific function. This process has become known as adaptation or fine-tuning. In order to understand the societal implications of an ecosystem where multiple parties produce applications in this way, we need reasonable models of the incentives that drive this type of production. Here we offer a model of this multi-party process, in which a general provider of machine learning technology brings the system to a certain level of performance, and one or more domain-specialists adapt it for use in particular domains. Our model provides high-level takeaways for how incentives operate in this setting, and in this way it suggests how we might think about responsible development and regulation of these technologies. This is joint work with Jon Kleinberg and Hoda Heidari.