Ethics in AI

Course Code: CSC 3405

Instructor: Dr. Gabriel T. Lim

Department: Computer Science

Credits: 3

Course Description:
This course explores the ethical implications of artificial intelligence and its impact on society. Students will examine the moral, social, and legal challenges posed by AI technologies. The course emphasizes critical thinking and encourages students to develop frameworks for ethical decision-making in AI development and deployment.

Course Objectives:
By the end of this course, students will be able to:

1. Understand the fundamental ethical issues in AI development and application
2. Analyze the societal impact of AI technologies
3. Apply ethical frameworks to real-world AI scenarios
4. Critically evaluate AI systems for potential biases and fairness issues
5. Develop strategies for responsible AI design and implementation
6. Understand the current and emerging regulations and policies related to AI

Course Outline:

1. Introduction to AI Ethics
2. Philosophical Foundations of Ethics in Technology
3. Bias and Fairness in AI Systems
4. Privacy and Data Protection in the Age of AI
5. Transparency and Explainability in AI
6. AI and Employment: Automation and Job Displacement
7. AI in Decision-Making: Autonomy vs Human Oversight
8. Ethical Considerations in AI Research
9. AI and Social Justice
10. Global Perspectives on AI Ethics
11. AI Governance and Policy
12. Future of AI: Existential Risks and Long-term Impacts

Practical Components:

• Case study analyses of real-world AI ethical dilemmas
• Debates on controversial AI applications
• Development of an ethical framework for an AI project

Assessment Methods:

• Midterm Essay: 20%
• Final Research Paper: 30%
• Case Study Presentations: 20%
• Class Participation and Debates: 15%
• Ethical Framework Project: 15%

Textbook:
“Ethics of Artificial Intelligence and Robotics” by Vincent C. MüllerAdditional Resources:

• Selected academic papers and articles on AI ethics
• Guest lectures from ethicists and AI industry professionals
• Online resources from AI ethics organizations and initiatives

Prerequisites:

• Introduction to Artificial Intelligence
• Basic understanding of machine learning concepts

This course aligns with Jose C. Feliciano College Foundation’s mission to produce socially responsible professionals by addressing the critical ethical considerations in AI development. It combines theoretical ethical frameworks with practical case studies, preparing students to navigate the complex ethical landscape of AI in their future careers. The course emphasizes the importance of responsible innovation and the role of AI developers in shaping a positive technological future.