Artificial Intelligence

These artificial intelligence dissertation examples are student-contributed and cover the kinds of AI questions students are tackling right now across technology, organisations, law, and society. Rather than staying at the level of “how AI works”, many dissertations focus on what happens when machine learning systems are deployed in real settings — who benefits, who carries risk, and how performance is measured and governed.

You’ll find AI dissertation examples that explore applied areas such as healthcare, education, finance, HR, policing, customer service, and public administration, alongside technical themes like model evaluation, data quality, bias and fairness testing, explainability, and system reliability. Contemporary angles often include generative AI use in workplaces, automated decision-making, human oversight and accountability, cybersecurity and model security, and the practical limits of “accuracy” when outcomes are messy or value-laden. Legal and policy-focused dissertations frequently examine data protection, liability, procurement, auditability, and how organisations document decision trails for compliance. Many students also research user trust, adoption barriers, and the organisational conditions that make AI tools helpful rather than harmful (training, governance, process redesign, and feedback loops).

Use these artificial intelligence dissertation examples to narrow a research question and build keywords such as machine learning, generative AI, algorithmic decision-making, bias, fairness, explainability, model governance, risk management, and AI regulation.