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Course Outline
Introduction to Ethics in AI
- An overview of AI ethics.
- The historical context and the evolution of ethical concerns.
- Core ethical principles and theoretical frameworks.
Governance Frameworks for Physical AI
- International and national regulatory landscapes.
- Industry standards and prevailing best practices.
- Corporate governance structures in AI development.
Ethical Challenges in Physical AI
- Addressing bias and ensuring fairness in AI systems.
- Safeguarding privacy and data protection.
- Establishing accountability and transparency.
Case Studies in Ethical AI
- Real-world examples illustrating ethical dilemmas.
- Insights gained from previous AI deployments.
- Collaborative discussion and analysis of selected cases.
Developing Ethical AI Policies
- Identifying relevant stakeholders.
- Formulating actionable AI ethics policies.
- Implementing and overseeing ethical guidelines.
Future Trends and Challenges
- Emerging technologies and their corresponding ethical implications.
- Prospective governance models.
- The influence of public opinion and societal impact.
Summary and Next Steps
Requirements
- A foundational understanding of AI and its practical applications.
- A keen interest in the ethical and governance issues surrounding technology.
Audience
- Policy makers.
- AI ethicists.
- Technology leaders.
14 Hours
