After taking the course, students should be able to:

Define and explain key principles of basic AI research.
Analyze the capabilities and limitations of various AI technologies.
Grasp the relation and difference between basic AI research and the application of AI technologies.
Explore and evaluate known ethical frameworks relevant to AI and technology.
Apply ethical theories to real-world AI scenarios.
Analyze and discuss real-world case studies illustrating ethical challenges in AI development and use. Analyze how AI intersects with issues such as inequality and accessibility.
Assess the social, economic, and cultural impact of AI on individuals and communities.
Examine existing and emerging laws and regulations related to AI.
Critically evaluate the effectiveness of current legal frameworks in addressing AI ethics.
Propose strategies to address and mitigate bias in AI applications.
Evaluate the privacy implications of AI systems.
Understand how AI may threaten computer security.
Explain the ethical responsibilities of AI developers, researchers, and policymakers.
Identify and anticipate ethical challenges associated with emerging trends in AI technology.

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