Leadership Accountability and A.I. Governance
Aligned with Trust and Safety?
This assessment examines the maturity of your organization’s AI governance framework and leadership oversight mechanisms.
The survey explores how AI governance is structured, from dedicated boards to informal processes, and evaluates the effectiveness of leadership oversight through board reviews, accountability metrics, and risk management integration.
By analyzing decision-making frameworks, ethical considerations, and executive accountability measures, organizations can identify gaps in their AI governance structure.
The assessment helps determine whether current oversight mechanisms are sufficient to ensure responsible AI development and deployment. Results provide insights for strengthening AI governance and leadership accountability frameworks.
Results help prioritize actions needed to strengthen alignment between AI practices and organizational values.”
Try out the DEMO version of the Survey. It only supports the first three fields of the paid version. Get access to the full Monitor, the analysis of your A.I. app’s trust and safety condition, and the full report when you unlock the DEMO.
6. How does leadership ensure ethical oversight of AI development? (Select all that apply)
7. What succession planning exists for AI governance roles? (Select all that apply)
8. How does leadership handle conflicts between AI efficiency and ethical concerns? (Select all that apply)
9. What measures exist for leadership learning about AI impacts? (Select all that apply)
10. How does leadership ensure cross-functional alignment on AI initiatives? (Select all that apply)
