Digital University Foundation explores the responsible application of artificial intelligence across research, education, scholarly communication, publishing, and academic administration.
The AI programme combines education, responsible adoption, and carefully governed AI-assisted workflows rather than positioning artificial intelligence as a replacement for researchers, educators, editors, reviewers, or academic decision-makers.
Areas of Focus
- AI literacy for researchers and academics
- Responsible use of generative AI in research
- AI-assisted scholarly publishing workflows
- Research discovery and information organization
- AI-assisted conference administration
- Responsible reviewer and editor support
- Training in limitations, bias, privacy, attribution, and research integrity
Human Oversight
Decisions involving manuscript acceptance, peer-review conclusions, research validity, awards, academic assessment, ethical judgment, or other consequential scholarly determinations remain under appropriate human responsibility. AI-generated suggestions or analyses should be treated as supporting information rather than independent academic authority.
Responsible AI
Unpublished manuscripts, confidential peer-review material, sensitive research data, or personal information should not be entered into external AI services without appropriate authorization and safeguards.