Maintain Accountability and Oversight

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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