A.I. Transparency and Explainability
Can you explain what’s inside your A.I.?
ThE A.I. Transparency and Explainability Assessment helps organizations evaluate how effectively they communicate about and explain their AI systems to stakeholders.
Through focused questions across five key areas – documentation processes, communication protocols, decision explanations, reporting mechanisms, and development transparency – the assessment reveals your organization’s current capabilities in making AI systems understandable and trustworthy.
The results identify strengths and opportunities for improving AI transparency while providing practical recommendations for enhancing stakeholder trust and engagement.
Essential for technology leaders, communications teams, and executives working to build responsible AI systems that users can understand and trust.
Try out the DEMO version of the Assessment. 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 do you validate the fairness and bias of AI systems? (Select all that apply)
7. What methods do you use to ensure AI decisions align with company values? (Select all that apply)
8. How do you communicate AI system limitations to users? (Select all that apply)
9. What processes exist for challenging or appealing AI decisions? (Select all that apply)
10. How do you measure AI system transparency effectiveness? (Select all that apply)
