Tech Policy, Privacy, and Digital Trust​​​​​​​

Calling all CAIOs, CISOs, CIOs, CPOs, General Counsel, Heads of Public Policy, Trust and Safety leaders, as well as government CIOs and CTOs, national AI office leaders, ministers or secretaries for digital and AI, regulators, standards bodies, and tech diplomats: Join us to navigate global tech policy and privacy, build scalable programs, and earn digital trust with customers and the public. Do not miss this opportunity to align policy, privacy, security, and responsible AI so your organization can innovate with confidence. 

 
 
 
 

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Track Overview

This track delivers practical playbooks to meet regulatory expectations across regions and to operate effectively in global organizations and public institutions. We cover privacy by design, risk based AI governance, model documentation, platform and content integrity, incident response for AI and data issues, third party and supply chain risk, and cross functional operating models that connect policy, legal, security, data, product, communications, and public affairs. The focus is on actionable practices and standards that travel well across jurisdictions. 
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Key Takeaways

 

  • Build a unified policy, privacy, and AI governance strategy tied to business or mission objectives 

     

  • Translate regulatory requirements into technical and process controls with clear accountability 

     

  • Implement privacy by design: data minimization, retention, de-identification and consent management  

     

  • Operationalize risk management frameworks for AI and data in day to day work 

     

  • Document and govern AI systems: impact assessments, human oversight, model cards, and approvals
     

  • Measure trust: accuracy, robustness, fairness and bias, toxicity, drift, and incident rates 

     

  • Strengthen platform integrity: abuse prevention, fraud detection, and content policy enforcement 

     

  • Manage third parties: vendor reviews, SLAs, model supply chain transparency, and continuous assurance 

     

  • Address cross border operations: data residency patterns, transfer mechanisms, and regional alignment without duplicating effort 

     

  • Build effective public private collaboration: coordination with regulators, standards bodies, and civil society 

 

Who Should Attend?
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  • Public Policy and Government Affairs leaders, Trust and Safety, and Communications teams

     

  • Founders and executives at companies with global offices and customers 

     

  • Government and multilateral leaders: government CIOs and CTOs, national AI office leaders, tech diplomats and ambassadors for digital affairs, ministers or secretaries for digital and AI, standards bodies, and regulators 

     

  • ML, data, and platform engineers, product and engineering managers, QA and SRE 

     

  • Privacy and data governance leaders, security architects, application security teams 

Interested in Speaking?
 

​​​​​​​​​​​​​​Are you advancing tech policy, privacy, or digital trust in practice? Whether you work in industry, government, a standards body, a multilateral institution, academia, or civil society, we welcome your story. Share your frameworks, artifacts, and results with a global audience focused on building trustworthy technology. 

 

Apply to speak

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Potential Topics & Ideas

  • Proving ROI: finance-grade business cases, value engineering & post-implementation reviews

  • AI Operating Models: from COE to product-line ownership; funding, chargebacks & incentives

  • GenAI in the Enterprise: assurance, red-teaming, prompt governance, and content safety

  • Data & Platform Foundations: data quality, MLOps, retrieval-augmented generation, and observability

  • AI Talent & Partners: executive hiring plans, upskilling, and selecting strategic vendors

  • Regulation & Risk: model risk management, privacy by design, and audit-ready documentation

  • From Pilot to Scale: change management, enablement programs, and adoption dashboards

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