AI for Decision Makers

Overview

Designed for executives responsible for AI investment, governance, and adoption. Moves beyond the hype to a structured operating framework covering strategy, ethics, risk, and enterprise deployment.

Objectives

• Distinguish signal from noise across the AI landscape
• Design AI governance policies for board approval
• Evaluate build-vs-buy for enterprise AI systems
• Model risk, cost, and value across AI portfolios

Learning outcomes

• Draft an enterprise AI operating model
• Chair an AI risk and ethics committee competently
• Approve AI investments with structured decision criteria
• Communicate AI strategy to boards, regulators, and staff

Target audience

• CIOs, CTOs, CDOs, and Chief AI Officers
• Board members and audit-committee chairs
• General counsel and heads of risk

Programme modules

1. 01Foundations of AI and data

   1 hour

   How data is collected, cleaned and analysed at enterprise scale.

2. 02How machine learning works

   1h 30m

   Model families, training data and the limits executives must understand.

3. 03AI value in the enterprise

   1h 30m

   Identifying, sizing and prioritising commercially credible use cases.

4. 04Responsible and governed AI

   1h 30m

   Risk, ethics, regulation and the governance operating model.

This programme is available inside the Oxford SBM learning experience. Learning is free; you pay only when you request a Professional Digital Credential.

Lead instructors

Dr. Mei Zhang, industry practitioners from finance, healthcare, and public sector

Certification

Verified Certificate in AI for Decision Makers