NIST_AI

• Key functions of the AI RMF 1.0

  • Govern
  • Map
  • Measure
  • Manage
• Govern


  This function ensures that a culture of risk management is cultivated and present. It includes categories and subcategories that help establish and communicate the organization's focus on AI risk management.
• Map


  This function recognizes the use case context and identifies risks related to that context. It helps in understanding the AI system's operational environment and the potential risks associated with its use.
• Measure


  This function assesses, analyzes, or tracks the identified risks. It involves the evaluation of AI risks and the effectiveness of risk management strategies.
• Manage


  This function prioritizes and acts upon risks based on projected impact. It helps in determining the appropriate responses to AI risks and monitoring the effectiveness of those responses.
• Characteristics of trustworthy AI


  • Valid and Reliable
  • Safe
  • Secure and Resilient
  • Accountable and Transparent
  • Explainable and Interpretable
  • Privacy-Enhanced
  • Fair with harmful biases managed
• Valid and Reliable


  The AI system should produce accurate and consistent results.
• Safe


  The AI system should not cause harm to users or the environment.
• Secure and Resilient


  The AI system should be able to resist and recover from attacks.
• Accountable and Transparent


  The AI system should be transparent in its operations and accountable for its actions.
• Explainable and Interpretable


  The AI system should be able to explain its decisions in a way that is understandable to humans.
• Privacy-Enhanced


  The AI system should respect and protect user privacy.
• Fair with harmful biases managed

  The AI system should treat all users fairly and not discriminate based on biases.
• These characteristics ensure that AI systems operate with integrity, accountability, and ethical considerations, fostering trust among users and stakeholders.
• The AI RMF is designed to be a flexible and voluntary framework that helps stakeholders across various sectors understand, assess, and address the risks AI technologies can pose.
• The AI RMF includes considerations for the ethical, technical, and societal implications of AI deployment.