What Will You Learn?

• Understand AI integration in government: Analyze
• the fundamental principles and unique challenges of
• incorporating AI into public sector environments,
• including regulatory frameworks, critical data privacy
• concerns, and strategies for building public trust.
• Apply data science to policy analysis: Utilize
• advanced data science techniques for rigorous
• policy analysis and evaluation, employing predictive
• analytics for optimized resource allocation and
• causal inference for robust program effectiveness
• assessment.
• Design AI systems for public services: Create and
• prototype AI systems specifically tailored for diverse
• public service delivery needs and enhanced citizen
• engagement, such as intelligent chatbots for public
• inquiries or personalized information dashboards.
• Implement transparent AI governance: Develop
• robust approaches for transparent and accountable
• algorithmic governance, focusing on interpretability
• frameworks, explainable AI (XAI), and independent
• auditing mechanisms to ensure fairness.
• Mitigate algorithmic bias: Formulate
• comprehensive strategies to identify and mitigate
• algorithmic bias, ensuring equity, accessibility, and
• inclusion in all public sector AI initiatives through the
• application of universal design principles.
• Navigate ethical and regulatory landscapes:
• Critically navigate the complex regulatory
• landscapes and ethical considerations of AI in
• government contexts, referencing international
• standards, national AI ethics guidelines, and robust
• oversight frameworks.