Step by step: how SAFE AI contributes to trustworthy AI
This briefing outlines how each step of the SAFE AI Framework has been designed to support trustworthy AI.
Based on the National Institute of Standards and Technology (NIST) AI Risk Management Framework, the seven characteristics of trustworthy AI are:
Valid and Reliable: The AI system should perform as intended, delivering accurate results consistently across different situations.
Safe: The system must not produce harmful or dangerous outcomes to human life, health, property, or the environment.
Secure and Resilient: The AI must withstand unforeseen events, attacks, or adversarial inputs, maintaining its functionality without compromising data.
Accountable and Transparent: There should be a clear understanding of how the system operates, including documentation on data, decisions, and responsibility for its outputs.
Explainable and Interpretable: Users should understand the reasoning behind a particular output or decision made by the AI.
Privacy-Enhanced: The system must protect sensitive data, uphold privacy standards, and avoid leaking information across sessions.
Fair with Harmful Bias Managed: The AI must treat different user groups equitably, actively identifying and mitigating bias in training data or results.