DSAC 1005: ADVANCED AI COMPLIANCE FRAMEWORKS & CROSS-BORDER DATA GOVERNANCE FOR THE PUBLIC SECTOR
As Artificial Intelligence adoption accelerates across government institutions, public sector organizations must establish robust compliance frameworks and effective data governance mechanisms to ensure responsible innovation, regulatory compliance, and public trust. This program equips Public Sector Leaders, ICT Managers, Compliance Officers, Data Protection Officers, Risk Managers, Policy Makers, and Governance Professionals with practical skills to implement advanced AI compliance frameworks, manage cross-border data governance challenges, and strengthen accountability in the digital era.
Core Objectives:
AI Compliance Frameworks & Responsible Governance: Learn strategies to design, implement, and monitor AI governance and compliance frameworks that promote transparency, accountability, fairness, and ethical AI adoption.
Cross-Border Data Governance & Regulatory Alignment: Acquire skills to manage cross-border data flows, navigate jurisdictional requirements, and align data governance practices with national, regional, and international regulatory frameworks.
Data Protection, Privacy & Risk Management: Develop approaches to safeguard sensitive information, strengthen data privacy controls, manage compliance risks, and ensure responsible data stewardship across public sector institutions.
AI Risk Oversight & Public Sector Resilience: Apply techniques to assess AI-related risks, establish governance controls, enhance organizational resilience, and support the secure and trustworthy deployment of AI-driven solutions.
Participants will gain actionable expertise to strengthen AI governance, enhance regulatory compliance, improve cross-border data management practices, and build trusted, resilient, and future-ready public sector institutions.
