Demonstrate a critical awareness of fundamental concepts in AI security

INSTRUCTIONS TO CANDIDATES

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Responsible AI: Ethics, Law and Governance

OIM7510-B

Module Learning Outcomes:
1. Demonstrate a critical awareness of fundamental concepts in AI security. 
2. Demonstrate a comprehensive understanding of selected ethical frameworks used in current
approaches to ethics in AI.
3. Demonstrate a critical understanding of selected ethical and legal principles and standards in AI.
4. Demonstrate originality in the application of knowledge, together with a practical understanding
of important issues and topics in the evolving AI law discipline.
5. Demonstrate the qualities and transferable skills of initiative and personal responsibility.
 
Module Syllabus:
1. Introduction to the ethics of AI: What is AI and what are the ethical AI-related challenges
currently and in the next decade?
2. Fundamental concepts in AI (cyber)security: identity, confidentiality, privacy, anonymity,
integrity, etc.
3. Ethical frameworks: virtue ethics, consequentialism, utilitarianism, deontology 
4. Ethics and the alignment problema trade-off
6. Accountability, moral responsibility, and law
7. Legal frameworks: EU General Data Protection Regulation (GDPR); The European Commission’s
policies and strategies (the proposal for one of the first legal frameworks in the world dealing
with the regulation of AI; High-Level Expert Group on AI), 2019 OECD Principles on Artificial
Intelligence; The US policy and strategic plan on AI
8. Ownership and governance 
9. The future of AI.

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