ICML 2024oral4 citations

Position: On the Societal Impact of Open Foundation Models

Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K Hopkins, Kevin Bankston

Abstract

Foundation models are powerful technologies: how they are released publicly directly shapes their societal impact. In this position paper, we focus on *open* foundation models, defined here as those with broadly available model weights (e.g., Llama 3, Stable Diffusion XL). We identify five distinctive properties (e.g., greater customizability, poor monitoring) that mediate their benefits and risks. Open foundation models present significant benefits, with some caveats, that span innovation, competition, the distribution of decision-making power, and transparency. To understand their risks of misuse, we design a risk assessment framework for analyzing their *marginal risk*. Across several misuse vectors (e.g., cyberattacks, bioweapons), we find that current research is insufficient to effectively characterize the marginal risk of open foundation models relative to pre-existing technologies. The framework helps explain why the marginal risk is low in some cases, clarifies disagreements about misuse risks by revealing that past work has focused on different subsets of the framework with different assumptions, and articulates a way forward for more constructive debate. Overall, our work helps support a more grounded assessment of the societal impact of open foundation models by outlining what research is needed to empirically validate their theoretical benefits and risks.

BibTeX
@inproceedings{
kapoor2024position,
title={Position: On the Societal Impact of Open Foundation Models},
author={Sayash Kapoor and Rishi Bommasani and Kevin Klyman and Shayne Longpre and Ashwin Ramaswami and Peter Cihon and Aspen K Hopkins and Kevin Bankston and Stella Biderman and Miranda Bogen and Rumman Chowdhury and Alex Engler and Peter Henderson and Yacine Jernite and Seth Lazar and Stefano Maffulli and Alondra Nelson and Joelle Pineau and Aviya Skowron and Dawn Song and Victor Storchan and Daniel Zhang and Daniel E. Ho and Percy Liang and Arvind Narayanan},
booktitle={Forty-first International Conference on Machine Learning},
year={2024},
url={https://openreview.net/forum?id=jRX6yCxFhx}
}
Position: On the Societal Impact of Open Foundation Models · ICML 2024