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Course Outline
Introduction to Ethics in AI
- Overview of AI ethics
- Historical context and evolution of ethical concerns
- Key ethical principles and frameworks
Governance Frameworks for Physical AI
- International and national regulations
- Industry standards and best practices
- Corporate governance in AI development
Ethical Challenges in Physical AI
- Bias and fairness in AI systems
- Privacy and data protection
- Accountability and transparency
Case Studies in Ethical AI
- Real-world examples of ethical dilemmas
- Lessons learned from past AI deployments
- Discussion and analysis of case studies
Developing Ethical AI Policies
- Identifying key stakeholders
- Creating actionable AI ethics policies
- Implementing and monitoring ethical guidelines
Future Trends and Challenges
- Emerging technologies and their ethical implications
- Future governance models
- The role of public opinion and societal impact
Summary and Next Steps
Requirements
- Basic understanding of AI and its applications
- Interest in ethical and governance issues related to technology
Audience
- Policy makers
- AI ethicists
- Tech leaders
14 Hours
