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Distance & Presence
Can AI genuinely reduce the disadvantages of remoteness in education, health, administration and specialist services?
Artificial Intelligence · Islands · Futures
AI-slands
What changes when artificial intelligence is viewed from islands rather than from the metropolitan centres where most digital futures are imagined?
Why AI-slands?
Most accounts of artificial intelligence begin with corporations, laboratories, cities and global infrastructure. AI-slands begins somewhere else: with island communities and the experience of living at the edge of systems.
AI may compress distance, but islands remind us that distance is never only physical.
From the island outwardStart with island experience rather than importing metropolitan assumptions.
Connection and disconnectionAsk what AI changes when transport, broadband, power and services are already uneven.
Resilience without romanticismExplore adaptive capacity without treating island communities as laboratories or curiosities.
Culture mattersLanguage, memory, heritage and local knowledge are as important as technical infrastructure.
Research Themes
Six lines of enquiry turn AI-slands from a technology project into an Island Studies project.
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Culture & Language
What happens when small languages, dialects, oral traditions and local knowledge enter systems trained mainly on large global datasets?
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Resilience
Could AI strengthen small communities by extending capacity—or increase dependency on distant platforms and infrastructure?
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Governance & Autonomy
How might AI affect local government, public services, democratic participation and island autonomy?
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Work & Demography
Could distributed AI-enabled work support population retention, or will automation hollow out already-fragile labour markets?
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Energy & Infrastructure
AI is immaterial only in appearance. Data centres, networks and computation have physical energy, environmental and geopolitical footprints.
Forthcoming Events
Planned meetings that bring Island Studies into conversation with AI research, public policy, digital humanities and island communities.
Proposed one-day hybrid symposium
AI-slands: AI and the Future of Northern and Arctic Islands
The symposium will be organised around questions rather than predictions: what might AI enable, what might it erode, and what becomes visible when its effects are examined from northern and island contexts?
Opening: Why islands are a distinctive place from which to think about AI.
Session I: Remoteness, connectivity and access to services.
Session II: Language, heritage, culture and machine representation.
Session III: Work, education, demography and island futures.
Session IV: Governance, autonomy, ethics and technological dependence.
Roundtable: What would an island-centred AI research agenda look like?
An Archipelago of Questions
Select an island setting to explore how different places generate different AI questions. These are comparative research prompts, not fixed conclusions.
North Atlantic case study
Shetland
Remote service provision, energy systems, cultural identity, education, population retention and the relationship between local agency and externally controlled infrastructure.
Expanded through the people, institutions and research relationships of the UArctic Northern and Arctic Island Studies Research Thematic Network ↗.
Questions AI-slands Should Ask
The project is strongest when it resists the temptation to assume that technological adoption is automatically beneficial.
Can AI make remoteness matter less?
AI might extend specialist knowledge into places where expertise is scarce. But digital access cannot replace every form of physical presence, infrastructure or human relationship. Which forms of distance can AI genuinely compress, and which remain?
Who owns the intelligence?
If island services become dependent on systems owned elsewhere, apparent local capacity may conceal a new form of external dependence. AI-slands therefore asks about ownership, control, data and technological sovereignty.
What happens to small cultures inside large models?
Small languages, minority histories and locally specific knowledge may be under-represented or distorted. Islands offer a powerful setting for examining whose knowledge becomes machine-readable and whose remains marginal.
Could AI strengthen island demography?
Remote work, distributed expertise and improved services could make island residence more viable. But automation could also remove jobs, centralise decision-making and weaken local institutions. The demographic consequences deserve direct study.
What would an island-centred ethics of AI look like?
It would pay attention to scale, dependence, community, environmental limits, cultural continuity and the consequences of decisions made far from the places where those decisions are felt.
Working Papers
Developing arguments and research methods from the AI-slands programme, shared to invite scholarly discussion and empirical testing.
FEATURED · AI-SLANDS WORKING PAPER NO. 9
From Testbed to Charter: Innovation, Democratic Risk and the Governance of AI in Island Societies
The concluding working paper examines why islands become attractive AI testbeds, the value and democratic risks of experimentation, and the conditions that distinguish island-led innovation from extractive laboratory practice. It proposes an Island AI Experiment Test and a ten-commitment Island AI Charter.
Earlier working papers
Nos. 1–8 · Read online or downloadWORKING PAPER NO. 8
AI for Island Resilience
Climate, disasters, food and the sea—from prediction to island capacity and action.
WORKING PAPER NO. 7
Algorithmic Archipelagos
Uneven development within island regions.
WORKING PAPER NO. 6
Intelligent Islands or Dependent Islands?
AI infrastructure, energy and the case for governed digital interdependence.
WORKING PAPER NO. 5
Can AI Help Islands Keep Their People?
Work, demography and the conditions for durable island livelihoods.
WORKING PAPER NO. 4
Bridging the Water
AI, distance and the future of island services.
WORKING PAPER NO. 3
Small Islands, Big Decisions
AI governance, dependency and the right to shape the digital future.
WORKING PAPER NO. 2
AI and Island Cultures
Preservation, extraction and the right to refuse.
WORKING PAPER NO. 1
AI-slands
Towards an island-centred approach to artificial intelligence.
AI-slands Observatory · Catalogue 2026
A living record of island AI
Follow how islands are governing, adapting and contesting artificial intelligence—and how new evidence changes the research.
13 case studies18 policy records63 connections9 working papers
Atlas / Record 001Monthly monitoring
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Island AI Case-Study Atlas
Verified examples of islanders using, adapting and governing AI for culture, services, resilience and economic development.
ProtectiveAdaptiveProductiveMixed
Open the world atlas →
Policy / Record 002Source verified
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Island AI Policy Tracker
Adopted strategies, guidance, recommendations and policy work in development—assessed separately for maturity and island-centredness.
Examine the policies →Network / Record 003Linked evidence
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AI-slands Connections
Trace relationships among islands, institutions, themes, policies and dependencies that are difficult to see in a conventional list.
Explore the network →Working Paper / 0092026
From Testbed to Charter
Innovation, democratic risk and the governance of AI in island societies.
Read the final paper →News WatchWeekly
Recent developments
29 October 2026 · Seychelles
Seychelles approves a national Digital & AI Strategy, cross-government coordination and a sovereign cloud built around two in-country datacentres.
Read the News Watch →LiteratureLiving review
What the latest evidence changes
Updating reviews interpret scholarship behind the Policy Tracker and Case-Study Atlas.
Open the reviews →Repository / Record 004Source linked
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AI-slands Research Library
Search the papers, reports, policy documents and institutional resources used throughout Working Papers 1–9.
Browse the research library →People / Partners
A distributed research community
Researchers, island organisations, students and practitioners contribute disciplinary knowledge and experience from across island regions.
External reference / OECD.AI
OECD Artificial Intelligence Newsletter
International updates on AI policy, governance, research and OECD.AI publications.
Visit the official resource ↗Latest from AI-slands News Watch
Three recent developments selected for their significance to island agency, governance and capacity. The full archive is checked and updated weekly.
29 OCTOBER 2026 · SEYCHELLES
National AI strategy and sovereign cloud approved
Cabinet backed cross-government coordination and two in-country datacentres intended to strengthen public services, resilience and local AI capability.
28 OCTOBER 2026 · VANCOUVER ISLAND
Indigenous-led language AI retains community ownership
FLAIR is co-developing small language tools with the Kwakwaka’wakw and other communities while keeping curricula, data and outputs under community authority.
28 OCTOBER 2026 · MAURITIUS
Public-service AI integration target announced
Mauritius aims to integrate AI across its public service and reach paperless administration by the end of the 2026/27 financial year.
ABOUT
Project Lead
AI-slands is led by Andrew Jennings, Professor in Island Studies at the Institute for Northern Studies, University of the Highlands and Islands. The project explores artificial intelligence from island-centred perspectives.
CONTACT
Join the Conversation
Researchers, island organisations, students and practitioners are invited to contribute island case studies, symposium papers or ideas for collaboration.
Contact / Contribute