Annabel Latham

Dr. Annabel Latham is a Senior Lecturer in Computer Science at Manchester Metropolitan University within the Faculty of Science and Engineering’s Computing and Mathematics department. She holds a PhD in Artificial Intelligence, an MSc in Computing, a Postgraduate Certificate in Academic Practice, a CIM Diploma in Marketing, and a BSc(Hons) in Computation. As a Fellow of the Higher Education Academy (FHEA) and Senior Member of IEEE (SMIEEE), she contributes extensively to AI research and education.

• PhD in Artificial Intelligence
• MSc in Computing
• PGC Academic Practice
• CIM Diploma in Marketing
• BSc(Hons) Computation
• FHEA (2015)
• SMIEEE (2018)

Research Interests include Artificial Intelligence in Education, Ethics of AI, and Computational Intelligence. She specializes in conversational agents, intelligent tutoring systems, and public trust in AI. Her work addresses fairness, accountability, and accessibility in AI-driven education, leveraging technologies like large language models and fuzzy logic.

Research Outputs span 15 years, with a focus on explainable AI, educational applications of conversational agents, and ethical frameworks. Recent work (2024-2025) explores postdigital citizen science, trustworthy AI implementation, and XAI usability for non-specialists.

• 2023 IEEE Region 8 Outstanding Women in Engineering Volunteer Award
• 2019 IEEE Region 8 Outstanding Women in Engineering Affinity Group of the Year
• 2018 Outstanding Peer Reviewer, Elsevier: Computers & Education
• Senior Member IEEE (2018)
• FHEA (2015)

Teaching and Supervision includes undergraduate Databases, postgraduate units in Information Systems and AI Ethics. She supervises MSc and PhD students in areas like explainability-aware machine learning, data responsibility, and AI trustworthiness. Her grants involve collaborations with international funding bodies such as NAFOSTED (Vietnam) and Croatia’s National Council for Science.

Labs and Groups include the Computational Intelligence Lab, Machine Intelligence research group, and the Data and AI Ethics research group, where she co-leads initiatives on ethical AI in education.