Lecturer: Sebastian Sequoiah-Grayson
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Course Resources:
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Key Definitions and Terminology
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Group Project: FACIAL RECOGNITION
“Life is a group project”
SHAP vs LIME (explainable AI)
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Week 1
2.1 Ethics in CS & Code of Ethics
3.1 Representation and Algorithmic Biases
3.2 Decision Making and Fairness
4.1 Trust, Transparency, and Explainability
4.2 Accountability, Fairness, and Transparency
5.1 Leadership, Professionalism, and Whistleblowing
5.2 Principles and Professionalism
7.1 SDGs: Generative AI, AI Superintelligence etc.
Guest: Sustainable Procurement
7.2 Extractivism and Ethics Washing
8.2 Digital Systems and Moral Responsibility
9.1 Cybersecurity ethics: research and practice
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Readings Notes:
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