Adversarial AI attacks create unprecedented legal accountability challenges where traditional liability doctrines prove inadequate for addressing AI-specific risks across multiple jurisdictions. While organizations implement technical defenses and risk assessments, they must navigate complex legal landscapes requiring structured liability attribution, regulatory compliance, and contractual protection strategies that address evolving regulatory requirements while enabling innovation. This chapter establishes legal approaches for understanding AI liability, implementing compliance programs, and documenting security practices to support both defensive operations and organizational accountability requirements.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Responsibility, Liability, and Law

  • Goran Trajkovski

摘要

Adversarial AI attacks create unprecedented legal accountability challenges where traditional liability doctrines prove inadequate for addressing AI-specific risks across multiple jurisdictions. While organizations implement technical defenses and risk assessments, they must navigate complex legal landscapes requiring structured liability attribution, regulatory compliance, and contractual protection strategies that address evolving regulatory requirements while enabling innovation. This chapter establishes legal approaches for understanding AI liability, implementing compliance programs, and documenting security practices to support both defensive operations and organizational accountability requirements.