This course provides an in-depth introduction to the ethical considerations and challenges surrounding the development and deployment of artificial intelligence.

Course Outline

  • Introduction to AI Ethics: Understanding the fundamental principles of ethics in AI, including fairness, transparency, and accountability.
  • AI and Society: Exploring the impact of AI on various aspects of society, such as employment, privacy, and security.
  • Case Studies: Analyzing real-world examples of AI applications and their ethical implications.
  • Regulatory Frameworks: Examining the existing and proposed regulations and policies related to AI ethics.

Learning Objectives

  • Develop a comprehensive understanding of AI ethics principles and their application in real-world scenarios.
  • Analyze and critically evaluate the ethical implications of AI technologies.
  • Understand the legal and regulatory landscape of AI ethics.
  • Learn how to apply ethical principles to the design and implementation of AI systems.

Course Materials

  • Textbooks: "Artificial Intelligence: A Modern Approach" by Russell and Norvig.
  • Online Resources: Access to AI ethics articles, reports, and case studies.

Prerequisites

  • Basic understanding of artificial intelligence.
  • Familiarity with programming and computer science concepts.

Additional Resources

For further reading, check out our AI Ethics Guide.

Artificial Intelligence Ethics