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Acceptable Use Policies for Foundation Models
16 references·0 citing·36 second hop
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References

  • 2022Constitutional AI: Harmlessness from AI Feedback1,694 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI1,048 cited
  • 2020CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models505 cited
  • 2023Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction276 cited
  • 2023Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations147 cited
  • 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models105 cited
  • 2023Democratising AI: Multiple Meanings, Goals, and Methods75 cited
  • 2024Foundation Model Transparency Reports47 cited
  • 2023The Foundation Model Transparency Index46 cited
  • 2023Evaluating the Social Impact of Generative AI Systems in Systems and Society45 cited
  • 2024Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database34 cited
  • 2024The Promise and Perils of China's Regulation of Artificial Intelligence27 cited
  • 2024Removing RLHF Protections in GPT-4 via Fine-Tuning26 cited
  • 2024Moderating model marketplaces: platform governance puzzles for AI intermediaries26 cited

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2024
The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence
18 cited
  • 2026AI Regulation in Europe: From the AI Act to Future Regulatory Challenges17 cited
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