Introduction

The "Ethics and Governance in AI" course is designed to provide professionals with a comprehensive understanding of the ethical considerations and governance frameworks essential in the development and deployment of Artificial Intelligence technologies. Through this 5-day course, participants will engage with key ethical theories, governance models, and practical case studies, preparing them to implement ethical AI solutions effectively.

Objectives

• Understand fundamental ethical theories and their application in AI.
• Analyze various governance models for overseeing AI systems.
• Examine case studies to identify successful ethical AI implementations.
• Develop strategies for creating and maintaining ethical AI systems.
• Gain insights into international AI regulations and compliance requirements.

Course Outlines

Day 1: Introduction to AI Ethics and Governance

• Overview of AI technologies and their societal impact
• Introduction to ethical theories: utilitarianism, deontology, and virtue ethics
• The importance of ethics in AI development
• Current landscape of AI governance
• Exploration of primary ethical concerns: bias, privacy, and accountability

Day 2: Ethical Frameworks and Decision-Making

• Developing an ethical decision-making framework for AI
• Analyzing ethical dilemmas in AI through case studies
• Incorporating stakeholder perspectives in ethical AI planning
• AI transparency and explainability challenges
• Tools and resources for ethical AI evaluation

Day 3: Governance Models and Regulations

• Diverse models of AI governance: centralized vs decentralized approaches
• International AI regulations and compliance
• The role of government, industry, and academia in AI governance
• Implementing effective AI governance frameworks
• Case studies of governance failures and successes

Day 4: Developing Ethical AI Systems

• Building an ethical AI development lifecycle
• Conducting ethical impact assessments for AI projects
• Strategies for ensuring fairness and avoiding bias in AI
• Securing personal data in AI applications
• Workshop: Designing an ethical AI solution

Day 5: Future Trends and Challenges in AI Ethics and Governance

• The future of AI ethics and governance: emerging challenges and trends
• New technologies and their potential ethical implications
• The impact of AI on employment and economic structures
• Addressing global inequality through AI
• Final reflections and course wrap-up; participant presentations