AI and society
How AI participates in learning, inquiry and social life.
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- AI and society — How AI changes learning, work, inquiry and social life.
- Autopoietic ecology — AE concepts and their use across the research programme.
- Education and learning — Teaching, understanding, assessment and inclusion.
- Ethics and governance — Responsibility, fairness, power and accountable decisions.
- Philosophy and consciousness — Mind, experience, process philosophy and systems thinking.
- Knowledge and research — Inquiry, evidence, research practice and knowledge production.
- Organisations and change — Institutions, working practices and lasting change.
- Health, care and wellbeing — Mental health, neurodiversity, care and relationships.
- Political economy and inequality — Work, finance, resources and the distribution of burdens.
- Environment and sustainability — Material dependencies, sustainable practice, repair and reuse.
- Cities and public life — Housing, public space, communities and civic participation.
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Research paper reviews discuss studies and theoretical or methodological papers. Book reviews cover books and edited collections. Essay and report reviews engage public scholarship. Essays and explainers develop EdgeLab’s own arguments and research reflections.
Preliminary reading means access to the source was limited. Preprint identifies a manuscript discussed before its peer-reviewed publication was established. Each article explains its source, evidence and limitations; a format category is not a peer-review claim.
Research posts: AI
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BERA publishes Beyond Correct Answers: AI, SEND and meaningful participation in mathematics
A new BERA report by Alastair Amos and Steven Watson explores when generative AI supports students with SEND in mathematics—and why teacher mediation remains crucial.
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What does refusing AI make visible?
Tags: AI and society · Ethics and governance · Meaning mediation · Organisations and change · ReviewsFaisal Saeed Malik treats resistance to AI as possible evidence about who can interpret, challenge and reshape computational authority. A critical reading asks what would make that diagnosis reliable.
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An AI can have permission without having authority
Tags: AI and society · Autopoietic Ecology · Cities and public life · Ethics and governance · Organisations and change · ReviewsA conceptual paper on government AI agents asks whether approved objectives remain connected to legitimate public authority. The harder question is who can interrupt and repair what happens next.
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The student says they remained the author. What would show it?
Tags: AI and society · Autopoietic Ecology · Education and learning · Ethics and governance · Meaning mediation · ReviewsA close reading of Christine Savvidou’s student-reflection study asks when verification and judgement sustain authorship—and why self-reported cognitive ownership still needs process and transfer evidence.
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When recent history predicts the next step, what did the theory add?
Tags: AI and society · Autopoietic Ecology · Education and learning · Knowledge and research · Meaning mediation · ReviewsA rigorous three-dataset study shows why learning analytics must beat strong own-history baselines—and why platform traces cannot, by themselves, establish understanding, agency or educational mechanisms.
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The Navier–Stokes breakthrough: what it tells us about AI and knowledge
What the Navier–Stokes announcement means, what a checked proof establishes, and how AE helps us understand the organisation behind mathematical discovery.
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A moving network is not yet an adaptable organisation
Tags: AI and society · Autopoietic Ecology · Organisations and change · Political economy and inequality · ReviewsA critical review of new AI-patent research asks whether changing collaboration positions create innovation—or merely record that an organisation’s network is moving.
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Coherence with a purpose
Tags: AI and society · Autopoietic Ecology · Education and learning · Ethics and governance · Organisations and change · ReviewsA close reading of a new six-axis framework for university AI asks whether institutional alignment develops human capability—or merely coordinates more efficient output.
