Glossary and definitions

Defining Data Science and AI

The Alan Turing Institute: https://www.turing.ac.uk/news/data-science-and-ai-glossary

Artificial Intelligence (AI) Glossary

Devyani Gajjar: https://post.parliament.uk/artificial-intelligence-ai-glossary/

Glossary of Artificial Intelligence

A list of definitions of terms and concepts relevant to the study of artificial intelligence (AI), its subdisciplines, and related fields: https://en.wikipedia.org/wiki/Glossary_of_artificial_intelligence

AI Definitions

Dr Anna-Maria Sichani: https://sas-dhrh.github.io/genai-cch-toolkit/content/definitions/AI_definitions.html

What is Research Integrity?

UKRIO: https://ukrio.org/research-integrity/what-is-research-integrity/

Guides and Toolkits

Embracing AI with integrity - A practical guide for researchers

UKRI launched a new guidance / practical guide ‘to help researchers navigate the research integrity challenges posed by AI': https://ukrio.org/ukrio-resources/embracing-ai-with-integrity/

A toolkit for Generative AI, data protection and intellectual property in digital cultural heritage

Dr Anna-Maria Sichani: https://sas-dhrh.github.io/genai-cch-toolkit/

AI for Researchers

Guidance and resources to support staff and postgraduate researchers in using Generative AI (Gen AI): https://generative-ai.leeds.ac.uk/ai-use-in-research/

 AI Tools

Jisc's AI Team: https://nationalcentreforai.jiscinvolve.org/wp/2024/08/28/ai-tools/

Artificial Intelligence Guide

University of London Online Library: https://onlinelibrary.london.ac.uk/support/guides/artificial-intelligence

EU Guidelines on responsible use of generative AI in research

European Commission: https://research-and-innovation.ec.europa.eu/document/download/2b6cf7e5-36ac-41cb-aab5-0d32050143dc_en?filename=ec_rtd_ai-guidelines.pdf

Use of generative artificial intelligence in application preparation and assessment

UKRI: https://www.ukri.org/publications/generative-artificial-intelligence-in-application-and-assessment-policy/use-of-generative-artificial-intelligence-in-application-preparation-and-assessment/

Research

Provocations from the Humanities for Generative AI Research

Lauren Klein, Meredith Martin, André Brock, Maria Antoniak, Melanie Walsh, Jessica Marie Johnson, Lauren Tilton, David Mimno: https://arxiv.org/abs/2502.19190

Working Paper: Implementing Generative AI in the Historical Studies

Sarah Oberbichler, Cindarella Petz: https://zenodo.org/records/14924737

Data Provenance Initiative

Audited 4000 text, video, and speech datasets: https://www.dataprovenance.org/

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, Samrat Mondal, Aman Chadha: https://arxiv.org/abs/2402.07927

Four-part podcast from Jisc - 'Is AI for me?' concerned with humanities research

Jisc: https://www.jisc.ac.uk/podcasts/research-talk-is-ai-for-me-perspectives-from-the-humanities-enriching-research-with-computational-methods

Leveraging AI for Research in Higher Education

Queen’s University Belfast: https://blogs.qub.ac.uk/digitallearning/ai/ai-in-research/

Machine Encounters: Introduction to “Whose Bias”

Mapping the Arts and Humanities Blog: https://blog.humanities.org.uk/2025/05/06/machine-encounters-introduction-to-whose-bias/

“I can’t help falling in love with AI”: chatbots and research integrity

UKRIO:https://ukrio.org/ukrio-resources/ai-in-research/

Using artificial intelligence in academic writing and research: An essential productivity tool

Mohamed Khalifa, Mona Albadawy: https://www.sciencedirect.com/science/article/pii/S2666990024000120