Cyber & IT Supervisory Forum - Additional Resources

MAP 1.2 Inter-disciplinary AI actors, competencies, skills and capacities for establishing context reflect demographic diversity and broad domain and user experience expertise, and their participation is documented. Opportunities for interdisciplinary collaboration are prioritized. About Successfully mapping context requires a team of AI actors with a diversity of experience, expertise, abilities and backgrounds, and with the resources and independence to engage in critical inquiry. Having a diverse team contributes to more broad and open sharing of ideas and assumptions about the purpose and function of the technology being designed and developed – making these implicit aspects more explicit. The benefit of a diverse staff in managing AI risks is not the beliefs or presumed beliefs of individual workers, but the behavior that results from a collective perspective. An environment which fosters critical inquiry creates opportunities to surface problems and identify existing and emergent risks. Suggested Actions Establish interdisciplinary teams to reflect a wide range of skills, competencies, and capabilities for AI efforts. Verify that team membership includes demographic diversity, broad domain expertise, and lived experiences. Document team composition. Create and empower interdisciplinary expert teams to capture, learn, and engage the interdependencies of deployed AI systems and related terminologies and concepts from disciplines outside of AI practice such as law, sociology, psychology, anthropology, public policy, systems design, and engineering. Transparency & Documentation To what extent do the teams responsible for developing and maintaining the AI system reflect diverse opinions, backgrounds, experiences, and perspectives? Organizations can document the following:

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