Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
- A foundational understanding of AI and its applications.
- An interest in ethical and governance issues concerning technology.
Target Audience
- Policy makers.
- AI ethicists.
- Tech leaders.
14 Hours
