Responsible AI Maturity Model

The Responsible AI Maturity Model (RAI MM) is a framework to help organizations identify their current and desired levels of RAI maturity.

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The RAI MM contains 24 empirically derived dimensions that are key to an organization’s RAI maturity. The dimensions and their levels are based on interviews and focus groups with over 90 RAI specialists (e.g., RAI champs, MSR experts) and AI practitioners (e.g., user experience (UX) researchers, UX designers, data scientists). Each dimension has five levels, going from low (Level 1: Latent) to high (Level 5: Leading) maturity. The dimensions are organized into three main categories:

• Organizational Foundations
• Team Approach
• RAI Practice

We recommend thinking of the RAI MM as a high-level map of the complex and evolving territory of RAI. Use it to help you navigate what it means to be a mature RAI organization. Looking ahead at higher maturity levels to see what is possible and desirable is more important than assessing your organization’s or team’s current level. As a field, RAI is not yet mature, so expect your organization or team’s maturity level to reflect that.

You’re using the RAI MM level “right” if you allow it to catalyze learning about RAI and discussions on organizational change.

We welcome your feedback on this white paper.