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

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

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