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Duration 14 hours
Course Outline
Foundations of AI Ethics
- Introduction to AI ethical principles.
- Historical perspective and the progression of ethical concerns.
- Core ethical principles and established frameworks.
Governance Structures for Physical AI
- Overview of international and national regulatory standards.
- Industry benchmarks and best practices.
- Corporate governance strategies within AI development.
Ethical Obstacles in Physical AI
- Addressing bias and ensuring fairness in AI systems.
- Safeguarding privacy and data protection.
- Ensuring accountability and system transparency.
Case Studies on Ethical AI
- Real-world instances of ethical conflicts.
- Insights derived from previous AI implementations.
- Critical analysis and group discussion of case materials.
Crafting Ethical AI Policies
- Identification of primary stakeholders.
- Development of practical AI ethics policies.
- Execution and ongoing monitoring of ethical guidelines.
Emerging Trends and Challenges
- Ethical ramifications of new technologies.
- Prospective governance models.
- Influence of public sentiment and societal impact.
Recap and Future Directions
Requirements
- Foundational knowledge of AI concepts and their practical applications.
- A keen interest in the ethical and governance challenges posed by technology.
Target Audience
- Policy makers.
- AI ethicists.
- Technology leaders.
