OpenAI GPT-4o Model Risk Assessment Summary:
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Risk Rating:
- Overall Risk Level: Moderate
- Primary Concerns:
- Cybersecurity
- Persuasiveness
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Pre-launch Safety Measures:
- Extensive "red team" testing conducted by external security experts.
- Focus areas included unauthorized voice clones, obscene and violent content, and repeated copyrighted audio segments.
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Assessment Findings:
- Persuasiveness: Texts generated by GPT-4o showed higher influence on reader opinions compared to human-written texts.
- Other categories (cybersecurity, bio-threats, model autonomy) rated as low risk.
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Internal and External Evaluations:
- Joint assessments by internal teams and external testers.
- Involvement of Model Evaluation and Threat Research (METR) and Apollo Research.
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Context of Release:
- Coincides with heightened scrutiny from internal staff and state senators regarding safety standards.
- Public pressure for increased transparency in AI safety practices.
- Open letter from Senator Elizabeth Warren and Representative Lori Trahan questioning safety review processes.
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Political and Regulatory Climate:
- Release timing is sensitive, just before the U.S. presidential election, raising concerns about misinformation and exploitation.
- Potential legislative actions, such as California State Senator Scott Wiener's bill, which may require legal accountability and state-level risk assessments for AI models.
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Conclusion:
- The GPT-4o model, while innovative, brings forth significant considerations in terms of cybersecurity and its potential persuasive power.
- OpenAI’s commitment to safety and transparency is under scrutiny, necessitating robust safety protocols and adherence to upcoming regulatory requirements.
