Together with the rapid adoption of AI, regulatory expectations, public scrutiny, and the potential for unintended harms are rising. This workshop equips participants with the conceptual foundations and practical tools needed to adopt AI systems in an ethical and responsible manner.

We begin with an introduction to the ethics of AI in which we examine the concrete harms that AI systems can cause and the mechanisms through which these harms arise. Participants will also be introduced to current AI governance frameworks and learn how these can be operationalised to manage risks.

The second part of the day offers a deep dive into four core ethical principles — safety, privacy, fairness, and transparency. For each, we examine how risks relating to each principle materialise, how they can be assessed, and which technical and organisational mitigations are most effective.

Finally, an interactive session woven through the day follows an example use case across its full project lifecycle.  This exercise allows participants to apply governance practices, risk assessments, and mitigation strategies as they would within their own organisations.

The whole workshop can be tailored for a more technical audience (typically data scientists) or for decision makers without a technical data science background.