Ethics & AI¶
Overview¶
Ethical considerations for developing and deploying AI systems in healthcare and beyond.
Core Principles¶
Beneficence¶
- Create positive impact
- Improve outcomes
- Reduce suffering
- Enable human flourishing
Non-Maleficence¶
- Avoid harm
- Consider unintended consequences
- Fail safely
- Protect vulnerable
Autonomy¶
- Respect human agency
- Maintain transparency
- Enable informed decisions
- Preserve choice
Justice¶
- Fair distribution of benefits
- Equitable access
- Avoid bias
- Consider all stakeholders
AI-Specific Considerations¶
Transparency¶
- Explainable decisions
- Clear limitations
- Honest capabilities
- Open about AI use
Bias & Fairness¶
- Diverse training data
- Regular audits
- Bias mitigation
- Fair outcomes
Privacy¶
- Data minimization
- Consent
- Security
- De-identification
Accountability¶
- Clear responsibility
- Human oversight
- Audit trails
- Feedback mechanisms
Healthcare AI Ethics¶
Patient Safety¶
- Thorough testing
- Clinical validation
- Continuous monitoring
- Clear failure modes
Clinical Integration¶
- Augment, don't replace
- Appropriate trust
- Clinical judgment
- Shared decision-making
Decision Framework¶
- Who is affected?
- What are the risks?
- What are the benefits?
- Are we being transparent?
- Can we justify this decision?
Related Documents¶
Last updated: January 2025