BRKS202 - Powering AI With Data

Course Description

Effective AI governance begins with trustworthy data. For leaders overseeing AI initiatives, it’s not a question of whether AI is the right solution but whether your organization’s data can responsibly support it. Poor data quality doesn’t just create technical problems; it can escalate into governance risks and policy crises when AI systems make decisions that affect people and communities.

This course equips you with frameworks to assess data readiness, diagnose performance issues, and evaluate advanced solutions — including synthetic data and AI-driven quality improvements — through a governance lens. You will distinguish data quality issues from AI performance problems, identify drift risks, and design human oversight mechanisms that protect accountability and public value.

Through applied scenarios and workplace projects, you will create readiness assessments, monitoring protocols, and evaluation strategies that help prevent risks before they impact people. By the end, you’ll be prepared to lead data governance decisions that keep an organization using AI accountable to the communities it serves.

You are required to have completed the following course or have equivalent experience before taking this course:

• Building AI Foundations for Public Leaders

Faculty Author

Benefits to the Learner

• Assess data readiness for AI deployment using quality and governance criteria
• Explain how data quality impacts policy outcomes and organizational accountability
• Identify risks related to data drift and model drift and plan human oversight mechanisms
• Evaluate responsible uses of synthetic data and AI-enabled data improvement tools
• Create monitoring protocols that detect performance degradation

Target Audience

• Government executives and agency leaders responsible for AI strategy, digital transformation, technology, innovation, or organizational leadership
• Program and operational leaders managing AI initiatives, modernization efforts, or public service delivery
• Data, privacy, cybersecurity, risk, and compliance professionals responsible for data governance, ethical AI, security, ethics, or regulatory compliance
• Public policy professionals, legislators, and legislative staff shaping AI policy, regulation, oversight, or public accountability
• Procurement, acquisition, and contracting professionals responsible for evaluating, purchasing, or managing AI technologies and vendor relationships
• Consultants, GovTech providers, nonprofits, and other organizations serving the public sector that advise, implement, or support responsible AI adoption

Applies Towards the Following Certificates

• AI Leadership for the Public Sector : Core Courses