Module #1 Introduction to Public AI Overview of the role of AI in the public sector, its benefits, and its challenges
Module #2 Ethics in AI:Why It Matters Importance of ethics in AI development and deployment, with case studies
Module #3 Innovation in Public AI:Drivers and Challenges Exploring the drivers of innovation in public AI, and the challenges that come with them
Module #4 Understanding Bias in AI Systems Defining and identifying bias in AI systems, and strategies for mitigation
Module #5 Transparency and Explainability in AI The importance of transparency and explainability in public AI systems
Module #6 Privacy and Data Protection in Public AI Balancing the need for data-driven innovation with individual privacy rights
Module #7 AI Governance and Regulation Overview of existing and emerging governance frameworks for public AI
Module #8 Human-Centered Design in Public AI Designing public AI systems that prioritize human well-being and dignity
Module #9 AI for Social Good:Opportunities and Challenges Exploring the potential of AI to drive positive social change
Module #10 Case Study:AI in Healthcare Balancing innovation and ethics in AI applications in healthcare
Module #11 Case Study:AI in Education The benefits and risks of AI in education, and strategies for responsible development
Module #12 Case Study:AI in Justice and Law Enforcement The use of AI in justice and law enforcement, and the ethical considerations that come with it
Module #13 Building an Ethical AI Team Recruiting, training, and retaining a diverse and ethical AI development team
Module #14 Ethical AI Development Life Cycle Integrating ethics into every stage of the AI development process
Module #15 Risk Management and Mitigation in Public AI Identifying and addressing potential risks in public AI systems
Module #16 Public Engagement and Participation in AI Development Strategies for engaging citizens in the development and deployment of public AI systems
Module #17 Evaluating the Ethical Implications of AI Systems Developing frameworks for evaluating the ethical implications of AI systems
Module #18 Addressing Job Displacement and Economic Inequality The impact of AI on employment and economic inequality, and strategies for mitigation
Module #19 AI and Environmental Sustainability The potential of AI to drive environmental sustainability, and the environmental impacts of AI itself
Module #20 Global Perspectives on AI Ethics Comparing and contrasting approaches to AI ethics across different cultures and regions
Module #21 The Future of Work and AI Envisioning the future of work in an AI-driven economy
Module #22 AI and Human Rights The intersection of AI and human rights, with a focus on dignity, autonomy, and non-discrimination
Module #23 Building Public Trust in AI Strategies for building and maintaining public trust in AI systems
Module #24 AI Governance and Regulation:Emerging Trends The latest developments in AI governance and regulation, and their implications for public AI
Module #25 Course Wrap-Up & Conclusion Planning next steps in Balancing Innovation and Ethics in Public AI career
