AI Governance Frameworks
Evidence-based governance frameworks and research-backed approaches to responsible AI deployment in clinical settings.
Key AI Concepts
WHO
Ethics & Human Rights
Ethics & Human Rights
Protect autonomy, ensure transparency, promote equity with mandatory audits.
AMA
Augmented Intelligence
Implement risk-based oversight, establish clear liability, avoid mandatory use.
nist
Risk Management
Adopt the Govern-Map-Measure-Manage core for trustworthy systems.
EU AI ACT
Risk Classification
Prohibits high-risk AI without human oversight in medical contexts.
HHS Strategy
Ethical Directives
Positions AI as core to future healthcare transformation.
OECD
AI Principles
Trustworthy AI, inclusive growth, and sustainable well-being.
Framework
Core Focus
Key Recommendations
Hallucination & Inaccuracy
AI generates plausible but false or unsubstantiated information. Studies show hallucination rates of 1.47% in clinical note generation, with some medical models exceeding 15% on analytical tasks.
Human-in-the-Loop (HITL) validation, robust testing protocols, and use of chain-of-thought reasoning to enable self-verification.
Automation Bias
Over-reliance on AI outputs, leading to errors in clinical judgment. Clinicians may accept flawed AI recommendations and cease searching for confirmatory evidence.
Clinician training on AI limitations, accountability frameworks, and system designs that encourage critical evaluation of AI suggestions.
Data Bias & Health Equity
AI models perpetuate or amplify existing health disparities due to biased training data that underrepresents certain demographic groups.
Diverse and representative data sourcing, fairness audits, external validation across different populations, and continuous monitoring.
Liability & Accountability
Lack of clarity regarding who is responsible for AI-related errors - developers, institutions, or clinicians.
Clear governance policies defining liability for developers, institutions, and clinicians, as advocated by organizations like the AMA.
AI Risks & Mitigation Strategies
Selection Guide
Need help selecting a framework?
Our strategic advisors help you navigate the landscape of WHO, AMA, and NIST to find the perfect fit for your clinical and regulatory context.