Compliance

Misuse Risk

The potential for AI systems to be intentionally used for harmful purposes beyond their intended function.

Definition

Misuse Risk refers to the potential for AI systems, models, or capabilities to be deliberately used for purposes that cause harm, violate rights, or undermine safety—distinct from unintentional malfunctions or errors. It encompasses both malicious use by bad actors and inappropriate use by authorized users.

Regulatory Recognition: The EU AI Act addresses misuse risk through multiple mechanisms including prohibited practices (Article 5), high-risk system requirements, and obligations for GPAI models with systemic risk. Providers must assess reasonably foreseeable misuse when conducting risk assessments.

Categories of Misuse:

  • Malicious use: Deliberate harm by bad actors (cyberattacks, fraud, weapons)
  • Unauthorized use: Use beyond licensed scope or terms of service
  • Inappropriate use: Authorized users applying AI to unsuitable contexts
  • Manipulation: Exploiting AI systems through adversarial inputs

Risk Assessment Requirements:

  • EU AI Act Article 9 requires identification of "reasonably foreseeable misuse"
  • GPAI providers must evaluate misuse risks under Article 55
  • NIST AI RMF MAP function includes misuse scenario analysis

Mitigation Strategies: Access controls, usage monitoring, terms of service, technical safeguards (output filtering, watermarking), red teaming to identify misuse vectors, and incident reporting mechanisms.

Related concepts: Dual-Use AI, AI Safety, Red Teaming, Adversarial Testing, Risk Management System

Sources

  • NIST AI RMF
  • AI Safety Standards