Responsible use of data in the age of AI

What it covers

This unit explores the critical role of data in shaping AI systems, from how data is collected and governed to how it is transformed and interpreted to support analytical and machine‑learning workflows. You will examine what data is, where it comes from, and how technical, organisational, ethical and societal factors influence its quality and suitability for AI applications. Through practical activities, you will clean, reshape and validate datasets, working with real‑world data sources to prepare them for analysis and model development. You will investigate issues such as consent, bias, intellectual property, data sovereignty and environmental impacts, considering how these factors constrain responsible data use. Using AI‑enabled tools to support exploration and validation, you will build sound judgement about data integrity and its influence on downstream AI outcomes.

Assessment

When and where