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B.Sc. (Information Technology) AI Ethics Syllabus - Mumbai University 2026

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This is the TY BSc IT syllabus under NEP 2020, in force from the academic year 2026-27. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

AI Ethics Syllabus.pdf
Minor · Semester 6 · TY BSc IT · 2 credits · 50 marks

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Syllabus for AI Ethics

Minor · Semester 6 · TY BSc IT · 2 credits · 50 marks

This is a paper of the Information Technology Minor, for students whose college runs that Minor. In Semester 6 you sit one pair: Cloud Computing Fundamentals and Digital Forensics Practical, or AI Ethics and Green IT Practices and Sustainability. From 2026-27 your college sets and marks Minor papers itself.

Module I: Foundations of AI Ethics and Philosophical Perspectives

  • Chapter 1: Introduction to AI and the Ethical Landscape
  • Evolution of Artificial Intelligence: From Symbolic AI to Generative AI
  • AI in Society: Real-world Applications and Impacts
  • Foundational Concepts in AI Ethics
  • AI Hype vs. Reality
  • Human-AI Interaction and Technological Transformation Chapter 2: Philosophical Foundations and Human Identity
  • What is Intelligence? Human vs. Artificial Intelligence
  • Superintelligence, Singularity, and Transhumanism
  • AI and the Concept of Humanity
  • Moral Agency and Machine Responsibility
  • The “Frankenstein Complex” and Ethical Narratives Chapter 3: Bias, Fairness, and Ethical Risks
  • Algorithmic Bias and Discrimination
  • Data Ethics and Fairness
  • Privacy and Surveillance
  • Explainability and Transparency
  • Responsibility and Accountability in AI Systems

Module II: Governance, Regulation and Responsible AI Implementation

  • Chapter 4: AI in Research, Academia, and Professional Practice
  • Ethical Use of Generative AI in Research
  • AI in Writing, Publishing, and Academic Integrity
  • Intellectual Property and Authorship Issues
  • Data Management and Ethical Data Handling
  • Responsible AI Adoption in Institutions Chapter 5: AI Governance, Policy, and Regulation
  • Global AI Regulatory Frameworks
  • Data Protection and Privacy Laws
  • Ethical Guidelines and Compliance
  • AI Risk Assessment and Audit Mechanisms
  • Institutional Governance and Policy Proposals Chapter 6: Future Challenges and Sustainable AI
  • AI and the Future of Work
  • Societal and Economic Transformations
  • Environmental Impact of AI (AI and Climate)
  • Open Science and AI
  • Responsible Innovation and Human-Centered AI

Text Books

  • 1 Haber, Eldar; Jemielniak, Dariusz; Kurasiński, Artur; and Przegalińska, Aleksandra, Using AI in Academic Writing and Research: A Complete Guide to Effective and Ethical Academic AI, Springer Nature Switzerland AG, 1st Edition, 2025.
  • 2 Coeckelbergh, Mark, AI Ethics, The MIT Press, 1st Edition, 2020.
  • 3 Floridi, Luciano; and Cowls, Josh, The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities, Oxford University Press, 1st Edition, 2021.
  • 4 Boddington, Paula, Towards a Code of Ethics for Artificial Intelligence, Springer International Publishing, 1st Edition, 2017.
  • 5 Russell, Stuart, Human Compatible: Artificial Intelligence and the Problem of Control, Viking (Penguin), 1st Edition, 2019.
  • 1 O’Neil, Cathy, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, Crown Publishing, 1st Edition, 2016.
  • 2 Eubanks, Virginia, Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, St. Martin’s Press, 1st Edition, 2018.
  • 3 Mittelstadt, Brent Daniel; Allo, Patrick; Taddeo, Mariarosaria; Wachter, Sandra; and Floridi, Luciano, The Ethics of Algorithms: Mapping the Debate, Big Data & Society Journal, 2016.
  • 4 Burgess, Mary; and Galliot, Marion; (editors), Ethics and Governance of Artificial Intelligence: Global Perspectives, Routledge, 1st Edition, 2020.
  • 5 Zuboff, Shoshana, The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, PublicAffairs, 1st Edition, 2019.

Reproduced from the University of Mumbai syllabus for B.Sc. (Information Technology) under NEP 2020, in force from the academic year 2026-27. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

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