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The Impact and Governance of Open Foundation Models in AI
Introduction
The emergence of open foundation models like BERT, CLIP, and Stable Diffusion has brought significant advancements in AI, with broader access and customization opportunities.
Benefits of Open Foundation Models
Open foundation models foster innovation, transparency, and scientific research, offering greater customization and distribution of decision-making power. They play a crucial role in AI interpretability, security, and safety.
Risks of Open Foundation Models
Despite their benefits, open foundation models pose risks, especially in areas like cybersecurity and biosecurity. There are concerns about misuse and the difficulty of monitoring their application.
Framework for Understanding Risks
A framework is presented to assess the marginal risk introduced by open foundation models compared to closed models or other relevant reference points. It highlights the importance of empirical research to validate theoretical benefits and risks.
Conclusion
Open foundation models offer substantial benefits in innovation and transparency but also introduce significant risks. A balanced approach, informed by empirical evidence, is essential for harnessing their potential while mitigating their risks.
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