AI Learning is a specialist learning pathway within DUF's Digital Academy, designed to help researchers, students, academics, editors, and research professionals understand and use artificial intelligence responsibly — combining practical AI literacy with critical understanding of the limitations and ethical considerations involved.

Learning Areas

Fundamentals of artificial intelligence and generative AI, AI tools for research discovery, responsible AI-assisted literature exploration, AI-supported academic writing workflows, prompt design for research applications, AI in scholarly publishing, AI and peer-review ethics, bias and hallucination risks, and privacy considerations for confidential research information.

Learning Formats

Self-paced courses, cohort-based programmes, webinars, practical workshops, masterclasses, and specialist CPD activities, each identifying instructors, objectives, duration, and certificate arrangements.

Responsible Use

Training emphasizes that AI-generated information requires critical evaluation and appropriate verification. Participants are encouraged to use AI as an assistive technology rather than as an undisclosed substitute for their own scholarly judgment, authorship responsibilities, or research accountability. AI Learning complements DUF's broader Digital Academy rather than operating as a separate educational institution.