Governance: Establish policies, processes, and governance mechanisms to guide the development and use of AI technologies.

Framework Development: Create a risk management framework tailored to the specific goals of the organization.

Risk Assessment: Identify potential risks associated with AI systems, including ethical, technical, financial, and social risks.

Risk Mapping: Align AI risks with organizational goals, ensuring that risks are identified and managed in accordance with the organization’s objectives and values.

Impact Evaluation: Assess the impact of identified risks and the effectiveness of risk control strategies already in place.

Criteria Development: Analyze and develop criteria for risk assessment to measure and monitor the effectiveness and impact of AI risk management.

Continuous Monitoring and Review: Ensure that risk management practices are effective and appropriately updated as needed.

Expert Consultation: Provide expert advice to help organizations understand and effectively manage AI risks.

Compliance Assistance: Assist organizations in complying with relevant regulations and standards, including the requirements specified in the NIST AI Risk Management Framework.

Training and Awareness: Conduct training sessions and provide learning resources to enhance knowledge and skills necessary for AI risk management.

Documentation and Reporting: Prepare necessary documentation and reports to demonstrate compliance and accountability.