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Oxford MSc AI for Business: AI Governance & Ethical Frameworks – Complete 2026 Course Notes

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Master the complexities of AI Governance with this comprehensive study guide designed for the Oxford MSc AI for Business (CS6101/TM_JM9P1). This document provides a deep dive into 2026 Ethical Frameworks, the EU AI Act, NIST RMF, and ISO 42001. Perfect for business leaders and Master's students, it covers how to build a compliant AI policy, mitigate algorithmic bias, and handle the legal challenges of Generative AI. Includes summary tables, case studies, and exam-ready terminology.

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January 23, 2026
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2025/2026
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UNIVERSITY OF OXFORD | MSC AI
FOR BUSINESS
MODULE: AI GOVERNANCE (TERM 1, 2026)
TOPIC: ETHICAL FRAMEWORKS, POLICY, AND LEGAL COMPLIANCE




1. THE 2026 GOVERNANCE LANDSCAPE
By 2026, AI Governance has moved from "voluntary ethical guidelines" to
"mandatory legal compliance." For business leaders, governance is no longer just
a legal hurdle—it is a competitive advantage that builds consumer trust and avoids
catastrophic fines.
1.1 Defining AI Governance
The structured system of rules, practices, and processes used to ensure an
organization’s AI systems are developed and deployed responsibly. It bridges the
gap between Ethical Principles (Values), Responsible AI (Technical Best Practices),
and Governance Frameworks (Organizational Structure).




2. CORE ETHICAL FRAMEWORKS
Business schools in 2026 teach a "Multi-Lens" approach to ethics, combining
classical philosophy with modern AI principles.
• UTILITARIANISM (Consequentialism): Focuses on maximizing the "net
good." Business Application: Assessing if the efficiency gains of an AI tool
outweigh the potential privacy risks to users.
• DEONTOLOGY (Duty-based): Focuses on adherence to moral rules and
rights regardless of the outcome. Business Application: Ensuring an AI never
violates a user's right to privacy, even if doing so would increase profit.
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