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As AI becomes embedded in business decision-making, leaders need more than just technical awareness—they need a critical understanding of what responsible AI use looks like in practice. Today’s leaders must guide organisations through complex choices around data use, transparency, fairness, and accountability.

This section focuses on AI-assisted decision-making in leadership contexts, asking students to consider the limits of algorithmic predictions and the importance of human oversight. Can a leader rely on AI when making decisions that impact people’s lives? How can teams avoid bias and build trust in AI systems? And what frameworks help ensure ethical, inclusive choices?

You'll find:

Scenario-based exercise

exploring bias in AI-assisted decision-making, using the example of the criminal justice system to reflect on how data and algorithms can influence outcomes

Case Study

showing the strategic implications of AI adoption across industries

Resources

to help future leaders develop policies and practices for responsible AI governance

This section is ideal for students of management, strategy, or innovation, providing them with the tools to lead effectively in a data-driven world—without losing sight of human judgement and ethical responsibility.

OER Content

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