Maintain Accountability and Oversight
Implementation Checklist
Communication & Oversight
Leadership responsibilities
Engage ethical bodies, privacy groups and public stakeholders
Engage ethical principles and policies
ensure transparency and objectivity
Engage stakeholders and clarify issues
Implementation & Delivery
Regular models reviews with risks assessments
Best practices in anonymizing and data sharing
Share methods, results and limitations
Transparency in decision delegation
Analysis & Development
Explain outcomes and uncertainties
Simplify models and validate thoroughly
Maintain analytical rigor, quality assurance and peer review
Monitor and asses risks
privacy
error
bias
harm
Apply ethical, professional and regulatory standards
Data Management
Implement quality checks and bias mitigation
Consider impacts on privacy, bias and error
Ensure data security and trained staff
Understand consents and legal data usage
Project Planning
Define project governance
handling
data security
Engage stakeholders and domain experts
Ethics assessment
Risk analysis
Data sourcing
Fairness
Public interest
Practice Examples
Governance and Accountability Structures
Clear accountability and redress processes
Ethics oversight committees
Public Involvement
Address public concerns
Engange the public in projects
Defining Operating Constraints
Implement system constraints and documentation
Maintaining Human Oversight
Establish review processes
Define responsibility for models in production
Implement Model governance
sign-off
Review points
monitoring
Ethical Considerations
Oversight in AI decision-making
Accountability for AI decisions
AI risks and opportunities for society
