DARTS AI Governance Framework
Data Governance
Data quality and governance should ensure clear data provenance and controls related to data security, privacy and confidentiality impacted by the adoption of AI.
Accountability
Establish a strong foundation for Accountability by assigning clear roles and responsibilities across the AI lifecycle, including human intervention, training and AI related policies.
Risk Management
Risk Management
Augment existing or adopt new risk practices to ensure thorough AI risk assessments, impact analysis and the implementation of AI-specific mitigation strategies.
Transparency
Transparency
Risk Management
Ensure transparency and clear explanations to stakeholders on your use of AI, including the testing and monitoring of AI system performance.
Stakeholders
Transparency
Stakeholders
Foster proactive stakeholder engagement by providing mechanisms for feedback and opportunities to raise concerns on your organisations AI use.