MIT AI Risk Repository · Additional evidence · 47.02.14.c
Nascent capabilities (agency and autonomy)
Category: Ethical and social risks
Description
Example: "Intentional harms, by contrast, could result from users exploiting connectivity and agency for malicious purposes. For example, connecting a generative AI model to a web browser or email server could enable malicious users to ask the model to write code for novel malware or instruct the LLM to distribute malware via the internet."
From Regulating under Uncertainty: Governance Options for Generative AI (G'sell2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Domain
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- Subdomain
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- Causal entity
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- Intent
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- Timing
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Other entries from G'sell2024
- Technical and operational risks
- Technical vulnerabilities (Robustness - unexpected behaviour)
- Technical vulnerabilities (Robustness - unexpected behaviour)
- Technical vulnerabilities (Robustness - vulnerability to jailbreaking
- Technical vulnerabilities (Robustness - vulnerability to jailbreaking
- Technical vulnerabilities (The risk of misalignment)
- Technical vulnerabilities (The risk of misalignment)
- Factually incorrect content (inaccuracies and fabricated sources)
- Factually incorrect content (inaccuracies and fabricated sources)
- Opacity (the black box problem)
- Opacity (industry opacity)
- Opacity (industry opacity)