Responsible AI in action: Operationalizing trust at scale

Presentation: Who owns the decision? Making AI accountable
AI is already making decisions across networks, operations, and customer journeys. This session gets brutally practical about what it takes to make those decisions traceable, accountable, and defensible.  

• What ‘accountability’ looks like when no human is in the loop 
• Assigning decision rights across humans, models and agents  
• Proving why a decision was made – under pressure, not post-event 

Panel: When AI decisions go wrong: who answers, who pays, who fixes it? 

• Who is accountable for an AI decision?  
• What decisions should AI never be allowed to make?  
• Would your current governance stand up in a live incident?  

Case study: Real-time accountability vs retrospective audit  
More details coming soon.