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.
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?
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.
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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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