AI-RMF Consultant-AI Risk Management Advice

Example

Conducting a comprehensive risk assessment for a retail company aiming to deploy AI for personalized customer recommendations.

Scenario

The consultant evaluates the potential data privacy risks, the likelihood of biased recommendations, and the impact on customer trust, providing a detailed risk mitigation strategy that aligns with the company’s ethical guidelines and regulatory requirements.

Example

Analyzing the risk profile of an autonomous vehicle’s navigation system.

Scenario

This involves assessing the system's decision-making processes, the potential for errors, and the consequences of such errors on safety. The consultant works to identify critical risks, suggest improvements in the system design for enhanced reliability and safety, and ensure compliance with industry standards.

Example

Assisting a government agency in developing policies for the use of AI in public services.

Scenario

The consultant helps establish a governance framework that includes ethical guidelines, accountability measures, and oversight mechanisms, ensuring that AI applications in public services are transparent, equitable, and respect citizens’ rights.

Example

Providing training for a technology firm’s staff on responsible AI practices.

Scenario

The training covers the principles of trustworthy AI, including transparency, fairness, and security, equipping the team with the knowledge to implement these principles in their AI projects.