Trustworthy AI and Data: Building the foundations for autonomous decision-making

Sessions in rooms

Moderator: Divya Keshwani, Research Analyst, SPG Global 

From Responsible AI to Trustworthy AI: Building the Infrastructure of Trust 
As AI becomes more autonomous and business-critical, organisations must move from responsible AI principles to measurable, operational trust. This session explores how Telstra and Accenture are building the infrastructure and capabilities to embed and demonstrate trust across the AI lifecycle. 

• Building AI trust infrastructure at enterprise scale, moving from governance frameworks to operational capabilities 
• Using AI control planes, observability and auditability to create visibility, accountability and assurance 
• Generating continuous evidence and assurance across the AI lifecycle, embedded by design 
• Applying lessons from the Telstra–Accenture collaboration to maintain human agency and human-centred outcomes. 

Dayle Stevens, Executive, AI Engagement & Advancement, Telstra 

How Azercell turned AI agents into a profit engine 
More details coming soon.  

Sabir Mardanov, Chief AI Officer, Azercell

Panel: The boardroom challenge: Governing AI as a material business risk 

• When does AI become a board-level responsibility? 
• How should operators define accountability for AI-driven decisions? 
• What evidence do leaders need before increasing levels of autonomy? 
• How should boards balance innovation, risk and regulatory compliance? 
• What governance models are emerging among leading CSPs? 

Isari Siriwardane, Deputy Chief Transformation Officer, Sri Lanka Telecom
Sunil Gupta, Director, Optus