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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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