Description: The UK's AI4Peat mapping project, developed by Natural England in collaboration with Microsoft, reportedly produced significant misclassifications of peatland across England, including labeling rocky outcrops, stone walls, and woodlands as peat bogs. In addition to the purportedly flawed data being publicly released and allegedly incorporated into official communications by Defra, the resulting confusion also reportedly led to the loss of trust among farmers and conservation stakeholders.
Entities
View all entitiesAlleged: Natural England and Microsoft developed an AI system deployed by Natural England , Government of the United Kingdom , Department for Environment, Food and Rural Affairs and Defra, which harmed Policymakers in the United Kingdom , Landowners in the United Kingdom , General public of the United Kingdom , Farmers in the United Kingdom , Environmental restoration programs in the United Kingdom , Conservationists in the United Kingdom and Epistemic integrity.
Alleged implicated AI system: AI4Peat
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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Ministers have been left red-faced after unveiling the first AI-generated map of Britain's peatlands --- only to have it comprehensively debunked by the people who live in the areas.
Local residents have reported that the government's state…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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