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Artificial Intelligence and research integrity: enabling trust and innovation

Welcome to our workstream exploring the intersection of generative artificial intelligence (GenAI) and research integrity. Our objective is to work with the research sector to identify how integrity can be embedded in research using GenAI. We aim to provide the necessary support and guidance to ensure the benefits of GenAI are realized while maintaining trust in research

This page contains resources that will help the research community navigate the evolving landscape of GenAI whilst maintaining the principles of integrity:

Concordat to Support Research Integrity and Generative AI

Following the publication of the refreshed Concordat to Support Research Integrity, we provide a perspective focused on researchers. This perspective examines the impact of GenAI on the five principles of Research Integrity contained in the Concordat. The refreshed Concordat affirms the Committee’s belief, that the principles of research integrity maintain their value when GenAI is used as part of the research process. This Concordat and GenAI document (pdf) highlights the key considerations the research community should take into account regarding research integrity when using GenAI.

7 Key Themes

In our 2024 annual statement, we published what we saw as emerging themes and related questions for the research community. Since then, the Committee has engaged with a wide range of stakeholders via correspondence and meetings to further 7 key themes (pdf). For a citeable version of these 7 key themes, please see Zenodo.

Research Integrity in the Era of Generative AI – A Perspective

The Committee commissioned an external perspectives piece on the benefits and challenges of AI-based research tools. The piece examines the roles of guidelines, AI tools, and evaluation in the effective and ethical use of AI in research.

You can read more about Research Integrity in the Era of Generative AI – A Perspective (pdf)

Bibliography

This bibliography is presented with neutrality, offering no judgement or endorsement regarding the content of the listed works. Each entry has been read by various members of the AI working group and may have influenced our perspectives and outputs in the works presented on this page.

You can read the AI working group bibliography (pdf).

If you have any comments or feedback on any of the materials on this page, please contact the Committee’s secretariat at secretariat@ukcori.org.