30 October 2025 15:20 - 15:40
Interactive panel | Addressing ethical challenges through explainability
This session explores how explainability techniques can help mitigate ethical risks in AI systems, from biased outputs to opaque decision-making.
Panelists will share practical approaches to making models more transparent, accountable, and aligned with real-world impact.
Key learnings:
→ The role of explainability in identifying and reducing bias in model behavior
→ Access practical tools and techniques to increase transparency in complex systems
→ Debate how explainability supports trust, compliance, and responsible AI deployment