The Search for Transparency and Accountability in the Age of AI - RAI and XAI as Essential Tools

This talk explores how responsible AI and explainable AI can work together to make AI systems more transparent, interpretable, and trustworthy. It discusses use cases, open-source frameworks, and a human-focused approach to explainability.