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Optimal liability for offensive and defensive AI

Technology
Global
Iniciada September 24, 2026

How much liability should AI providers bear when their services enable both attack and defence? Liability can improve welfare while increasing harm. Providers sell a common input to productive users, attackers and defenders. Within a defended contest, a higher common price reduces effort without changing attack success or attacker profits, saving resources and improving the […] The post Optimal liability for offensive and defensive AI appeared first on Marginal REVOLUTION. CommentsThere are m...

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CLAIM Publicado por admin Sep 24, 2026
AI providers should face stricter regulations if their technology is used for malicious purposes.

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CLAIM Publicado por admin Sep 24, 2026
AI providers must implement robust safeguards to mitigate liability risks associated with their products.

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CLAIM Publicado por admin Sep 24, 2026
Defensive AI should not be held to the same liability standards as offensive AI due to its different nature.

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CLAIM Publicado por admin Sep 24, 2026
AI providers should bear full liability for damages caused by their offensive AI systems.

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CLAIM Publicado por admin Sep 24, 2026
AI providers should not be held liable for actions taken by users of their offensive AI systems.

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CLAIM Publicado por admin Sep 24, 2026
AI liability should be tiered based on the intended use of the technology to balance innovation and safety.

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CLAIM Publicado por admin Sep 24, 2026
Allowing users to opt into liability agreements can create a more accountable AI marketplace.

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CLAIM Publicado por admin Sep 24, 2026
Liability for defensive AI should be shared between providers and users to encourage responsible usage.

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CLAIM Publicado por admin Sep 24, 2026
An inclusive dialogue about AI liability can lead to more informed policy decisions that benefit society.

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CLAIM Publicado por admin Sep 24, 2026
Higher liability for AI providers will stifle innovation in AI technology.

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