Introduction 

With the adoption of AI-related regulations, this session focuses on the critical imperative of making AI trustable, transparent, understandable, and accountable, as it continues to be integrated in various aspects of society. The speakers will explore strategies and practices for achieving these goals, by empowering organizations and professionals to benefit from the full potential of AI while reducing risks. 

Key questions and objectives 

• How can AI be transparent and understandable? 
• How can AI be more understandable to non-experts, and what role do explainable AI techniques and user-friendly interfaces play in promoting AI comprehension? 
• What mechanisms exist for holding AI accountable for its actions and outcomes?