Large Language Models

A Box Unlocked, Not A Box Ticked: Tom Chatfield on AI and Pedagogy
Teaching
December 1, 2025

A Box Unlocked, Not A Box Ticked: Tom Chatfield on AI and Pedagogy

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A Look at How Large Language Models  Transform Research
Infrastructure
July 23, 2025

A Look at How Large Language Models Transform Research

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When Clarity Isn’t Enough: Rethinking AI’s Role in Cognitive Accessibility for Expert Domains
Industry
June 30, 2025

When Clarity Isn’t Enough: Rethinking AI’s Role in Cognitive Accessibility for Expert Domains

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Isaac Asimov’s Critique of Algorithmic Thinking
Science & Social Science
June 1, 2025

Isaac Asimov’s Critique of Algorithmic Thinking

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Our Open-Source Tool Allows AI-Assisted Qualitative Research at Scale

Our Open-Source Tool Allows AI-Assisted Qualitative Research at Scale

The interactional skill of large language models enables them to carry out qualitative research interviews at speed and scale. Demonstrating the ability of these new techniques in a range of qualitative enquiries, Friedrich Geiecke and Xavier Jaravel, present a new open source platform to support this new form of qualitative research.

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Revisiting the ‘Research Parasite’ Debate in the Age of AI

Revisiting the ‘Research Parasite’ Debate in the Age of AI

The large language models, or LLMs, that underlie generative AI tools such as OpenAI’s ChatGPT, have an ethical challenge in how they parasitize freely available data.

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Machine Learning Research Requires Smaller Sample Sizes than Previously Thought

Machine Learning Research Requires Smaller Sample Sizes than Previously Thought

In this post, authors Louis Hickman, Josh Liff, Caleb Rottman, and Charles Calderwood outline the inspiration behind their recently published academic paper, […]

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Philosophy Has Been – and Should Be – Integral to AI

Philosophy Has Been – and Should Be – Integral to AI

Philosophy has been instrumental to AI since its inception, and should still be an important contributor as artificial intelligence evolves..

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Why Social Science? Because It Can Help Contribute to AI That Benefits Society

Why Social Science? Because It Can Help Contribute to AI That Benefits Society

Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability.

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Did Turing Miss the Point? Should He Have Thought of the Limerick Test?

Did Turing Miss the Point? Should He Have Thought of the Limerick Test?

David Canter is horrified by the power of readily available large language technology.

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How Intelligent is Artificial Intelligence?

How Intelligent is Artificial Intelligence?

Cryptocurrencies are so last year. Today’s moral panic is about AI and machine learning. Governments around the world are hastening to adopt […]

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