AI Security and Ethics

What Will Students Learn in This Course?

In this course, students will explore the critical areas of security and ethics in artificial intelligence, gaining the knowledge and skills needed to build responsible, safe, and compliant AI systems.

Learners will begin by understanding the fundamentals of AI ethics, including the core principles of fairness, accountability, transparency, and human-centered design. The course emphasizes how ethical considerations must guide every phase of AI development, from data collection to deployment.

Next, students will examine security risks specific to AI, such as adversarial attacks, data poisoning, and model manipulation. They'll learn how to recognize and defend against threats that compromise AI integrity and safety.

The course also covers bias in AI, helping students understand how algorithmic bias arises and how to identify, measure, and mitigate it to ensure inclusive and fair outcomes. Real-world examples will be used to demonstrate the impact of biased models.

Another key focus is on privacy and data protection, where students will explore methods like differential privacy, federated learning, and secure data storage to protect user information in AI-driven applications.

Finally, students will gain an overview of regulatory and compliance frameworks such as the GDPR, the EU AI Act, and other global standards, ensuring they understand the legal and societal responsibilities of working with AI.

By the end of the course, students will be equipped to design, develop, and deploy AI systems that are secure, ethical, and aligned with industry best practices.