AI Builders Global Conference 2026. October 14-16, 2026. Online.
AI Explainability, Transparency & User Rights
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
Users have the right to know when they're interacting with AI. This panel covers transparency requirements under emerging regulations, practical explainability methods (LIME, SHAP, attention visualization), building user-facing AI transparency dashboards, and the compelling business case for trustworthy AI: companies that invest in explainability see higher user adoption and lower churn.
Questions explored in the 2026 topic catalog
- What explainability methods work best for different AI applications?
- How do you build user-facing AI transparency dashboards?
- What transparency requirements exist under the EU AI Act?
- When is a "black box" model acceptable and when is it not?
- What is the business case for investing in AI explainability?
- How do you explain AI decisions to non-technical users?
Who this topic is for
UX designers, product managers, ML engineers, compliance officers, and anyone building AI products that need to earn and maintain user trust.
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