AI Governance Mechanisms
What are AI Governance Mechanisms?
AI governance mechanisms are the enablers a governing body can implement to:
- direct the artificial intelligence system ethically and effectively,
- demonstrate commitment to the internal control system and assurance processes,
- behave in a manner consistent with the defined organisational value,
- follow the expectations as set, and
- ensure such leadership throughout the artificial intelligence system's life cycle.
The governing body is required to articulate:
- the organisation’s purpose and vision,
- drive, guide and inspire management and staff.
It directs organisational strategies and operations intending to achieve:
- sustainable,
- technical,
- safe,
- economic,
- social and
- environmental performance.
AI governance requires ethical leadership from the governing body based on:
- integrity
- competence
- responsibility
- accountability
- fairness and
- transparency.
The governing body should discharge the moral duties of conscience, commitment, courage and inclusivity of all stakeholders.
Governance mechanisms to achieve the AI system's intended purpose
Evaluating
- Stakeholder needs
- Performance expectations
- Compliance obligations
Directing
- Proposals, plans
- Strategy, goals, objectives, intended purposes
- Capability
Monitoring
- Accountability
- Value creation
- Transparency and reporting.