Ethical and Effective Use of Generative AI in Research

To equip researchers and academic professionals with practical knowledge and hands-on skills to use Generative AI ethically, effectively, and responsibly across different stages of the research lifecycle.

• Understand Generative AI applications in academic research.
• Use AI tools for literature review and research ideation.
• Identify bias, hallucinations, and ethical risks in AI outputs.
• Apply AI for manuscript structuring and academic writing.
• Perform basic research data analysis using Python.
• Explore AI-assisted peer review and publication quality checks.
• Build reproducible research workflows using Jupyter Notebooks.

Workshop Structure

📅 Day 1: Introduction to Generative AI in Academic Research

• Overview of Generative AI and its applications in research
• Ethical implications of AI in research, including bias and hallucinations
• Role of AI in automating literature reviews and research ideation
• Challenges in AI reliability and maintaining academic integrity
• Responsible AI usage to ensure research quality and fairness

🛠️ Hands-on:
Hands-on 1: Literature Review Automation using OpenAI GPT Models / Generative AI Tools
Hands-on 2: Bias Detection and Responsible AI Evaluation

🧰 Tools Covered: OpenAI API / Generative AI Tools

📅 Day 2: AI-Assisted Academic Writing and Research Data Analysis

• AI for structuring and drafting academic papers
• Improving writing quality with AI-driven grammar and coherence checks
• Data analysis and pattern detection using AI tools
• Visualizing research data through AI-driven techniques
• Summarizing large datasets for key insights using AI

🛠️ Hands-on:
Hands-on 1: Manuscript Structuring with OpenAI GPT Models / Generative AI Tools
Hands-on 2: Data Analysis with Python

🧰 Tools Covered: OpenAI GPT Models / Generative AI Tools, Python, Pandas, Matplotlib

📅 Day 3: AI in Peer Review, Research Integrity, and Productivity

• AI’s role in automating peer review and manuscript quality checks
• Identifying predatory publishing using AI tools
• Boosting productivity by automating research tasks
• Building reproducible workflows in research with AI
• Future trends of AI in collaborative research and ethics

🛠️ Hands-on:
Hands-on 1: Peer Review Automation using Scite.ai
Hands-on 2: Reproducible Workflows with Jupyter Notebooks

🧰 Tools Covered: Scite.ai, Jupyter Notebooks

• Undergraduate and Postgraduate Students
• PhD Scholars and Research Scholars
• Faculty Members and Academicians
• Researchers and Scientists
• Healthcare and Industry Professionals
• Data Science and AI Enthusiasts
• Professionals involved in academic writing and publication
• Anyone interested in the ethical and effective use of Generative AI in research

• Live & recorded sessions
• e-Certificate upon completion
• Post-workshop query support
• Hands-on learning experience