Responsible Use of Generative AI in Academic Research: Ethical Guidelines and Practical Applications
Workshop Chair/Organizer
Peikai Li*, Leeds University Business School, Email: P.Li3@leeds.ac.uk
Learning Objectives
By the end of this workshop, participants will:
1. Master the ethical principles and responsible practices for using generative AI in academic research
2. Develop effective prompt engineering skills for academic tasks
3. Learn efficient strategies for AI-assisted literature review and academic writing
4. Understand best practices for integrating AI tools in research processes
Workshop Content
Session 1 (55 minutes)
1. Foundations & Tool Selection (25 minutes)
- Introduction to major AI models (GPT series, Claude, Gemini)
- Comparing AI tools for different research tasks
- Prompt engineering fundamentals and examples
- Practical tool selection strategies
- Academic integrity in the AI era
2. Literature Review & Research Design (30 minutes)
- Using AI for research gap identification
- Literature search and synthesis strategies
- Research question refinement techniques
- Hands-on exercises with academic examples
- AI-assisted paper structure planning
Session 2 (55 minutes)
1. Academic Writing Enhancement
- AI tools for writing improvement
- Structure and argument development
- Reference management assistance
- Data analysis summary techniques
- Manuscript refinement strategies
- Interactive writing exercises
Q&A and Wrap-up (10 minutes)
- Practical implementation tips
- Common challenges and solutions
- Resource sharing and next steps
Intended Participants
- Doctoral students and early-career researchers
- University faculty and research staff
- Academic professionals seeking ethical AI integration in research
Admission Criteria
- Basic familiarity with academic research methods
- Participants should have their own laptops
- Pre-registration required for AI tool accounts (details will be provided upon acceptance)
Time Requirement
Total: 2 hours
- Format: Two 55-minute sessions with a 10-minute Q&A period
Language
Chinese
AI Usage Disclosure
This workshop proposal was initially drafted using Claude (Anthropic) and has been thoroughly reviewed, verified, and revised by the workshop organizer. This disclosure aligns with our workshop’s emphasis on transparency and responsible AI use in academic contexts.