DSAC 1006: INSTITUTIONAL INTELLIGENCE: BUILDING DATA TRUST ECOSYSTEMS WITH POLICY-DRIVEN AI GOVERNANCE
As institutions increasingly rely on data and Artificial Intelligence for decision-making, the need for trusted, governed, and policy-driven data ecosystems has become critical for accountability, transparency, and sustainable performance. This program equips Public Sector Leaders, Data Officers, ICT Professionals, Risk Managers, Policy Makers, Compliance Officers, and Governance Practitioners with practical skills to build institutional intelligence systems, strengthen data trust ecosystems, and implement policy-driven AI governance frameworks that ensure responsible and effective use of data and AI.
Core Objectives:
Institutional Intelligence & Data-Driven Decision Systems: Learn strategies to design and operationalize institutional intelligence frameworks that transform data into reliable insights for strategic and operational decision-making.
Data Trust Ecosystems & Information Governance: Acquire skills to establish trusted data environments, strengthen data quality management, improve interoperability, and ensure integrity, security, and accessibility of institutional data assets.
Policy-Driven AI Governance & Ethical Compliance: Develop approaches to design and implement AI governance frameworks guided by institutional policies, ethical standards, and regulatory requirements to ensure responsible AI adoption.
Risk Management, Transparency & Accountability: Apply techniques to identify and manage data and AI-related risks, strengthen transparency in decision-making processes, and enhance accountability across institutional systems.
Participants will gain actionable expertise to build trusted data ecosystems, strengthen AI governance frameworks, improve institutional intelligence capabilities, and support ethical, transparent, and data-driven decision-making across the organization.
