Oct 19, 2025  
2025-2026 Undergraduate Catalog 
    
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2025-2026 Undergraduate Catalog

CS 2000 - Ethics in Data Security and AI

Credits: 4
This course explores the ethical challenges and considerations in the fields of Data Security and Artificial Intelligence (AI). Students will examine the moral implications of data collection, storage, and usage, with a particular focus on privacy, consent, and transparency. The course will delve into the ethical dilemmas posed by AI systems, including bias, fairness, accountability, and the societal impact of generative AI and autonomous technologies. Through case studies, discussions, debates and theoretical frameworks, students will learn to critically analyze ethical issues and develop strategies for responsible decision-making in data security and AI development. The course emphasizes the importance of aligning technological advancements with ethical principles to ensure that innovations contribute positively to society. Key topics include ethical theories, data privacy and security, data ethics, data privacy laws and regulations, bias in AI, societal impact of AI, AI governance, and the future of AI in society. Students will be encouraged to think critically about the role of ethics in shaping the future of technology and to develop a strong ethical foundation for their professional practice.

Prerequisites
NoneCorequisite NonePrerequisite/Corequisite
None

When Offered:
Other