Building Trustworthy AI in Government: Responsible and Impactful Innovation

Course details

This course provides a comprehensive framework for responsible AI implementation within the public sector, focusing on how government entities can leverage AI to improve efficiency, effectiveness, and equity in service delivery. Join instructor Brandie Nonnecke as she explores responsible AI strategies, evaluates transformative use cases, and shows you how to apply practical approaches for scaling AI projects. Along the way, Brandie also covers best practices for assessing risks, aligning with ethical standards, and fostering public trust in AI deployments. This course is an ideal fit for public sector professionals, consultants, advisors, and technologists looking to learn more about AI and lead public sector AI initiatives responsibly and effectively.

Learning objectives
Define and implement a responsible AI strategy tailored to public sector needs.
Identify and analyze effective public sector AI use cases that promote greater efficiency, effectiveness, and equity.
Assess and mitigate potential risks of AI in public services, focusing on ethics and public accountability.
Plan for scaling AI use across departments, ensuring sustainable and impactful outcomes.
Apply evaluation techniques to measure the impact of AI initiatives on public services and societal outcomes.

Concepts

0. Introduction

01 - Ensuring the responsible use of AI in government

1. Smart Government - Leveraging AI to Drive Public Sector Transformation

02 - A brief history of AI in government
03 - Current and emerging AI applications in the public sector

2. Building and Implementing Your Responsible AI Strategy

04 - The core principles of responsible AI
05 - The core components of a responsible AI strategy
06 - Aligning responsible AI strategies with public sector missions

3. AI Use Cases for Efficiency, Effectiveness, and Equity

07 - AI applications in transportation
08 - AI applications in healthcare
09 - AI applications in law enforcement
10 - AI applications in social services

4. Risk Assessment and Management

11 - Identifying potential risks in public AI projects
12 - Regulatory and compliance considerations for government AI
13 - Tools and frameworks for AI impact assessment - Managing risk

5. Scaling AI Use in the Public Sector

14 - Best practices for pilot projects and phased implementations
15 - Securing funding and stakeholder buy-in

6. Evaluating and Sustaining AI Initiatives

16 - Key performance indicators (KPIs) for public sector AI
17 - Updating and maintaining AI systems for ongoing relevance

Conclusion

18 - Where to continue your AI learning journey