The tension between openness and prudence in AI research
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Abstract (arXiv)
This paper explores the tension between openness and prudence in AI research, evident in two core principles of the Montr'eal Declaration for Responsible AI. While the AI community has strong norms around open sharing of research, concerns about the potential harms arising from misuse of research are growing, prompting some to consider whether the field of AI needs to reconsider publication norms. We discuss how different beliefs and values can lead to differing perspectives on how the AI community should manage this tension, and explore implications for what responsible publication norms in AI research might look like in practice.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Oct 2019.
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Citing papers per year: 2022: 1; 2023: 3; 2024: 0; 2025: 1.
5 papers.
- 2023The Gradient of Generative AI Release: Methods and Considerationscited by 63
- 2022Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Modelscited by 57
- 2023Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectivescited by 31
- 2023Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Modelscited by 7
- 2025Opening the Scope of Openness in AIcited by 0
- 2025Opening the Scope of Openness in AI9 May 2025
- 2023Hazards from Increasingly Accessible Fine-Tuning of Downloadable Foundation Models22 Dec 2023
- 2023Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives29 Sep 2023
- 2023The Gradient of Generative AI Release: Methods and Considerations5 Feb 2023
- 2022Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models27 Nov 2022