Release Strategies and the Social Impacts of Language Models

TL;DR

This paper discusses OpenAI's staged release approach for GPT-2, emphasizing risk management, collaboration, and responsible publication to maximize benefits and mitigate misuse of large language models.

Contribution

It introduces a staged release strategy and partnership-based research framework for responsible AI dissemination and risk mitigation.

Findings

Staged release allows effective risk assessment before full deployment.

Partnerships enhance safety and responsible AI development.

Recommendations improve coordination and publication practices in AI

Abstract

Large language models have a range of beneficial uses: they can assist in prose, poetry, and programming; analyze dataset biases; and more. However, their flexibility and generative capabilities also raise misuse concerns. This report discusses OpenAI's work related to the release of its GPT-2 language model. It discusses staged release, which allows time between model releases to conduct risk and benefit analyses as model sizes increased. It also discusses ongoing partnership-based research and provides recommendations for better coordination and responsible publication in AI.