Safe and secure use of AI in research projects

Open educational resource, workbook, and workshop.

Abstract

AI tools increasingly support all stages of research projects. At the same time, their use is constrained by ethical principles, research-integrity standards, and governance (legal and regulatory) requirements. This workshop introduces these constraints, presents the risks of AI use in research, and provides practical strategies for mitigating them across the entire research lifecycle. Both unintentional harms (AI safety) and deliberate threats (AI security) will be addressed. Participants will learn how to use AI tools safely, securely, and in compliance with ethical, integrity, and governance expectations.

Agenda

• INTRODUCTION
• PART 1: Theory
• 1.1 Freedom of research under ethical, integrity, and governance (legal and regulatory) constraints
• 1.2 AI risks, AI safety, and AI security
• 1.3 Risk management
• PART 2: Practice
• 2.1 Risk management framework adapted to the trinity of risks (ethical, integrity, and governance)
• 2.2 Hands-On: Use cases of AI and risk management across the research lifecycle. Plan & design, collect & create, analyze & collaborate, evaluate & archive, share & disseminate, access & reuse.
• 2.3 AI policies and checklists for research groups and research projects
• SUMMARY

Slides

Shigapov, R. (2025, Dezember 15). Safe and secure use of AI in research projects. Zenodo. https://doi.org/10.5281/zenodo.17940943

PDF book

To export jupyter book into PDF format, run: jupyter book build --pdf

It will be saved in book/safe_ai.pdf

License

This repository is licensed under CC BY 4.0 license unless otherwise noted.