Promote responsible and transparent AI practices.
Identify, assess, and mitigate potential risks of AI deployment.
Ensure AI applications support organizational strategies.
Improve quality, safety, and robustness of AI systems.
Meet local and international AI-related regulations and standards.
Establish AI policies, roles, and accountability structures.
Identify potential AI risks and implement mitigation measures.
Ensure high-quality, secure, and ethical use of data in AI systems.
Continuously track AI system performance and outcomes.
Involve relevant parties in AI planning, development, and deployment.
Reduce ethical and legal risks of AI implementation.
Enhance trust and effectiveness of AI applications.
Comply with emerging AI standards and legal requirements.
Minimize potential negative impacts of AI use.
Refine AI systems for optimal performance over time.
Ensure AI applications are aligned with values and societal expectations.
Prevent misuse or failure of AI systems.
Leverage AI reliably to support strategic goals.
Avoid fines, sanctions, or reputational damage.
Build a long-term, scalable AI management system.
Incorporate fairness, accountability, and transparency.
Prioritize risk assessment and mitigation in AI processes.
Ensure AI systems are effective and reliable.
Secure, high-quality, and responsible handling of data.
Consider input from all relevant parties.
Adapt and refine AI systems over time.