- Basic understanding of AI and its applications
- Interest in ethical and governance issues related to technology
Audience
- Policy makers
- AI ethicists
- Tech leaders
As Physical AI becomes increasingly integrated into various sectors, ethical considerations and governance frameworks are critical to ensure responsible development and deployment.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to explore the ethical, legal, and governance aspects of Physical AI development.
By the end of this training, participants will be able to:
- Understand the ethical challenges associated with Physical AI.
- Identify key governance frameworks and regulations.
- Develop strategies for responsible AI development.
- Analyze case studies of ethical dilemmas in AI deployment.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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