AI and data ethics

At the end of the course, you will earn a Certificate of Completion from Spirit in Projects.

You are ready for innovation and want to consider social responsibility in the process. Therefore, you want to learn more about the ethical dilemmas and other risks of Artificial Intelligence? If you would like to gain insights into obligations related to AI applications and actively participate in current discussions, then look forward to this training. Together, we will analyze case studies and discuss global contexts in the development of AI. We will also explore the EU AI Act, its practical implications and simulate a moot court.

Advising

Objectives

  • Understand ethical principles in artificial intelligence
  • Plan and develop ethical guidelines for AI use in businesses
  • Interpret privacy and intellectual property issues related to AI
  • Discuss and apply relevant legal frameworks
  • Learn best practices in data ethics and AI

Target groups:

AI Expert, Product Owner, Business Analyst and for all who are ready to explore the possibilities.

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Syllabus

1. Fundamentals of Ethics and AI

  • AI Ethics
  • Principles of AI Ethics
  • AI Ethics Dilemmas in Practice
  • Ethical wisdom

2. Data protection

  • Why protect data?
  • Overview of GDPR
  • Principles of data protection
  • Rights and obligations
  • Role of the Data Protection Officer (DPO)
  • Challenges in data protection

3. EU AI Act

  • Overview of EU AI Act
  • Classification of AI Systems
  • Responsibilities
  • Requirements for AI Systems
  • Consequences of Non-Compliance

4. Different positions on data ethics in AI

  • China
  • EU
  • Qatar
  • UAE
  • USA

5. Copyright and Legal Challenges

  • Overview of Copyright
  • Exceptions to Copyright
  • Copyright and Digital Media
  • Current Challenges in Copyright Law

6. Moot Court

Spirit in Projects