{ "id": "AIBD-0315", "title": "HALO Trust pilots AWS-supported AI to find explosive remnants in drone imagery of Ukrainian minefields; it may be about 70% accurate, with no clearance outcome yet", "summary": "HALO announced a US$4m AWS package (25 June 2024) to trial AI on drone imagery of Ukrainian minefields; Reuters (30 April 2026) reports about 70% accuracy; no cleared land or found mine attributed.", "date_observed": "2024-06-25", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "The HALO Trust announced a US$4 million package of support from Amazon Web Services on 25 June 2024. An archived copy of the page, dated 20 May 2026, is among the sources. It “will enable HALO to trial artificial intelligence (AI) to assist in the process of detecting debris of war (including landmines and other explosives) in drone imagery for existing minefields and battlefields in Ukraine”. It also covers machine-learning detection of damaged buildings in satellite imagery with SageMaker. By then HALO had flown 542 drone flights over Ukrainian minefields, producing 11 terabytes of imagery. It said training would require manually labeling thousands of images and ongoing vetting by HALO staff to remove false positives and negatives. A HALO page of 21 February 2025 describes the pilot through its head of research and development, Matthew Abercrombie. He says an analyst “can take three to five days to look through the imagery for an average minefield”. It reports no results. Reuters (Sergiy Karazy, 30 April 2026, syndicated by KELO) reported from Myrotske, 40 km north-west of Kyiv. HALO “has turned to AI to analyze high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already”. It quoted HALO media manager Olena Shustova. The article does not mention AWS and attributes no cleared land, found mine or time saving to the model. No later milestone is dated.", "category": "general benefit", "unexpected": false, "purpose": "Built to flag landmines and other debris of war in drone imagery so that HALO analysts spend less time searching thousands of images per minefield. The pilot is that intended use.", "system": "HALO Trust AI and machine-learning analysis of drone imagery for explosive remnants of war (hosted on AWS; SageMaker used for satellite-imagery damage detection)", "model_version": null, "developer": "The HALO Trust and development team with Amazon Web Services", "deployer": "The HALO Trust, Ukraine program", "location": "Ukraine", "domain": "Humanitarian mine action", "segment": "Survey and prioritization of contaminated land by a demining NGO", "benefit_type": "Improved Task Accuracy", "taxonomy_note": "The only figure is a pilot accuracy; faster analyst work is HALO's stated aim, not a result.", "registry_ids": {}, "ratings": [ { "group": "organizational", "depth": null, "reason": "HALO's pages state the aim (three to five analyst-days per minefield) and Reuters gives “around 70% accuracy”. No time saving, detection count or land release attributable to the model is documented." }, { "group": "societal", "depth": null, "reason": "No cited source links the AI pilot to any cleared hectare, found mine or avoided casualty in Ukraine." } ], "ai_role": { "status": "assessed", "statement": "The model is being trained to detect explosive remnants in drone imagery with HALO analysts labeling and vetting outputs. The only performance figure, around 70% accuracy, is reported by Reuters without its basis. The organization's own June 2024 and February 2025 pages report plans and workflow, not results. No independent evaluation, cleared area or detected-mine count is documented." }, "evidence": [ { "kind": "press release", "citation": "The HALO Trust (2024). AI to help accelerate landmine clearance. halotrust.org, 25 June 2024 (original URL now returns 404).", "title": "AI to help accelerate landmine clearance", "url": "http://web.archive.org/web/20260520220522/https://www.halotrust.org/news/artificial-intelligence-to-help-accelerate-landmine-clearance/", "date": "2024-06-25", "written_by": "makers", "quote": "HALO expects this pilot project will begin trialing drone imagery analysis using AI in the coming months." }, { "kind": "press release", "citation": "The HALO Trust (2025). Using drones and AI to eradicate landmines. halotrust.org, 21 February 2025.", "title": "Using drones and AI to eradicate landmines", "url": "https://www.halotrust.org/news/using-drones-and-ai-to-eradicate-landmines/", "date": "2025-02-21", "written_by": "makers", "quote": "It can take three to five days to look through the imagery for an average minefield," }, { "kind": "news report", "citation": "Karazy S (2026). Man, machine and AI combine in battle to clear Ukraine of mines. Reuters, 30 April 2026, syndicated by KELO.", "title": "Man, machine and AI combine in battle to clear Ukraine of mines", "url": "https://kelo.com/2026/04/30/man-machine-and-ai-combine-in-battle-to-clear-ukraine-of-mines/", "date": "2026-04-30", "written_by": "independent", "quote": "HALO Trust has turned to AI to analyse high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already." } ], "replication": { "produced_by": [ "High-resolution drone imagery of known minefields (542 flights, 11 terabytes by June 2024) manually labeled by HALO staff", "AWS cloud credits, storage and SageMaker tooling to train and host the models" ], "must_hold": [ "Trained HALO personnel vet model outputs to remove false positives and negatives before survey decisions", "Imagery resolution and ground conditions resemble the training minefields" ], "echoes": [] }, "paired_incident": null, "headline": "HALO's AI may spot mines in Ukraine with about 70% accuracy", "metric": "achieving around 70% accuracy already", "comparator": { "against": "manual analyst review of drone imagery of a minefield", "before": "three to five days to look through the imagery for an average minefield", "after": null, "basis": "assumed", "quote": "“The problem is that an analyst searching through thousands of images takes a very long time. It can take three to five days to look through the imagery for an average minefield,” said Abercrombie.", "url": "https://www.halotrust.org/news/using-drones-and-ai-to-eradicate-landmines/" }, "later": { "status": "persisted", "date": "2026-04-30", "note": "Reuters reported from Ukraine in April 2026 that HALO's AI trained on drone imagery was identifying mines and explosive remnants with around 70% accuracy, still with no clearance outcome attributed to it.", "quote": "Given the ⁠huge scale of the task, HALO Trust has turned to ⁠AI to analyse high-resolution drone imagery of contaminated areas and train systems to ​identify mines and explosive remnants, achieving around 70% accuracy already.", "url": "https://kelo.com/2026/04/30/man-machine-and-ai-combine-in-battle-to-clear-ukraine-of-mines/" }, "value": null, "developer_country": "United Kingdom", "deployer_country": "United Kingdom", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the cited sources.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Headline reworded to state the event without naming who claims it.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Title reworded to state the event without naming who claims it.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Added what the benefit is measured against from the cited sources.", "source": "https://www.halotrust.org/news/using-drones-and-ai-to-eradicate-landmines/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Improved Task Accuracy under Trustible's full taxonomy of 23 types; it was Improved Organizational Efficiency among the six first used.", "source": "https://trustible.ai/post/a-framework-for-measuring-the-benefits-of-ai/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Country of the developer and the deployer added from the organization's own site or a registry.", "source": "https://www.halotrust.org/contact-us/; https://www.halotrust.org/contact-us/", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" }, { "date": "2026-10-21", "change": "Notes about which sources could be read were reworded for readers; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" }, { "date": "2026-10-22", "change": "Organization name standardized to The HALO Trust.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: one independent news report and two press releases from the makers. 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An archived copy of the page, dated 20 May 2026, is among the sources. It “will enable HALO to trial artificial intelligence (AI) to assist in the process of detecting debris of war (including landmines and other explosives) in drone imagery for existing minefields and battlefields in Ukraine”. It also covers machine-learning detection of damaged buildings in satellite imagery with SageMaker. By then HALO had flown 542 drone flights over Ukrainian minefields, producing 11 terabytes of imagery. It said training would require manually labeling thousands of images and ongoing vetting by HALO staff to remove false positives and negatives. A HALO page of 21 February 2025 describes the pilot through its head of research and development, Matthew Abercrombie. He says an analyst “can take three to five days to look through the imagery for an average minefield”. It reports no results. Reuters (Sergiy Karazy, 30 April 2026, syndicated by KELO) reported from Myrotske, 40 km north-west of Kyiv. HALO “has turned to AI to analyze high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already”. It quoted HALO media manager Olena Shustova. The article does not mention AWS and attributes no cleared land, found mine or time saving to the model. 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Man, machine and AI combine in battle to clear Ukraine of mines. 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AI to help accelerate landmine clearance. halotrust.org, 25 June 2024 (original URL now returns 404).", "title": "AI to help accelerate landmine clearance", "url": "http://web.archive.org/web/20260520220522/https://www.halotrust.org/news/artificial-intelligence-to-help-accelerate-landmine-clearance/", "date": "2024-06-25", "written_by": "makers", "quote": "HALO expects this pilot project will begin trialing drone imagery analysis using AI in the coming months." }, { "kind": "press release", "citation": "The HALO Trust (2025). Using drones and AI to eradicate landmines. halotrust.org, 21 February 2025.", "title": "Using drones and AI to eradicate landmines", "url": "https://www.halotrust.org/news/using-drones-and-ai-to-eradicate-landmines/", "date": "2025-02-21", "written_by": "makers", "quote": "It can take three to five days to look through the imagery for an average minefield," }, { "kind": "news report", "citation": "Karazy S (2026). 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Reuters, 30 April 2026, syndicated by KELO.", "title": "Man, machine and AI combine in battle to clear Ukraine of mines", "url": "https://kelo.com/2026/04/30/man-machine-and-ai-combine-in-battle-to-clear-ukraine-of-mines/", "date": "2026-04-30", "written_by": "independent", "quote": "HALO Trust has turned to AI to analyse high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "evidence" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].upstream_sources": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "strategic_assessments[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "family": "strategic assessments" }, "summary": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "summary": "HALO announced a US$4m AWS package (25 June 2024) to trial AI on drone imagery of Ukrainian minefields; Reuters (30 April 2026) reports about 70% accuracy; no cleared land or found mine attributed.", "account": "The HALO Trust announced a US$4 million package of support from Amazon Web Services on 25 June 2024. An archived copy of the page, dated 20 May 2026, is among the sources. It “will enable HALO to trial artificial intelligence (AI) to assist in the process of detecting debris of war (including landmines and other explosives) in drone imagery for existing minefields and battlefields in Ukraine”. It also covers machine-learning detection of damaged buildings in satellite imagery with SageMaker. By then HALO had flown 542 drone flights over Ukrainian minefields, producing 11 terabytes of imagery. It said training would require manually labeling thousands of images and ongoing vetting by HALO staff to remove false positives and negatives. A HALO page of 21 February 2025 describes the pilot through its head of research and development, Matthew Abercrombie. He says an analyst “can take three to five days to look through the imagery for an average minefield”. It reports no results. Reuters (Sergiy Karazy, 30 April 2026, syndicated by KELO) reported from Myrotske, 40 km north-west of Kyiv. HALO “has turned to AI to analyze high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already”. It quoted HALO media manager Olena Shustova. The article does not mention AWS and attributes no cleared land, found mine or time saving to the model. No later milestone is dated." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "summary", "account" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].autonomy_permissions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].component_role": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].deployment_configuration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].inputs_outputs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_name": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].model_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "systems[].product_name": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "system": "HALO Trust AI and machine-learning analysis of drone imagery for explosive remnants of war (hosted on AWS; SageMaker used for satellite-imagery damage detection)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "system" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "systems[].provider": { "state": "value_present", "value": { "kind": "structured", "data": { "application_developer": "The HALO Trust and development team with Amazon Web Services" } }, "provenance": { "kind": "legacy_record", "basis": "Mapped from the existing case description without a new external source review.", "record_fields": [ "developer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "HALO Trust pilots AWS-supported AI to find explosive remnants in drone imagery of Ukrainian minefields; it may be about 70% accurate, with no clearance outcome yet", "headline": "HALO's AI may spot mines in Ukraine with about 70% accuracy" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "title", "headline" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "version": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "ea9458b9fb0cadf42b4bf16a68eda0d38176e92a9ee731a432964a53e4f9a156" ], "role": "SHA-256 of normalized original case data" }, "provenance": { "kind": "curatorial", "basis": "Deterministic content version assigned by the local migration.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "workflow": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "The HALO Trust announced a US$4 million package of support from Amazon Web Services on 25 June 2024. An archived copy of the page, dated 20 May 2026, is among the sources. It “will enable HALO to trial artificial intelligence (AI) to assist in the process of detecting debris of war (including landmines and other explosives) in drone imagery for existing minefields and battlefields in Ukraine”. It also covers machine-learning detection of damaged buildings in satellite imagery with SageMaker. By then HALO had flown 542 drone flights over Ukrainian minefields, producing 11 terabytes of imagery. It said training would require manually labeling thousands of images and ongoing vetting by HALO staff to remove false positives and negatives. A HALO page of 21 February 2025 describes the pilot through its head of research and development, Matthew Abercrombie. He says an analyst “can take three to five days to look through the imagery for an average minefield”. It reports no results. Reuters (Sergiy Karazy, 30 April 2026, syndicated by KELO) reported from Myrotske, 40 km north-west of Kyiv. HALO “has turned to AI to analyze high-resolution drone imagery of contaminated areas and train systems to identify mines and explosive remnants, achieving around 70% accuracy already”. It quoted HALO media manager Olena Shustova. The article does not mention AWS and attributes no cleared land, found mine or time saving to the model. No later milestone is dated.", "replication": { "produced_by": [ "High-resolution drone imagery of known minefields (542 flights, 11 terabytes by June 2024) manually labeled by HALO staff", "AWS cloud credits, storage and SageMaker tooling to train and host the models" ], "must_hold": [ "Trained HALO personnel vet model outputs to remove false positives and negatives before survey decisions", "Imagery resolution and ground conditions resemble the training minefields" ], "echoes": [] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" } }, "summary": { "total": 91, "addressed": 91, "known": 27, "reviewed": 0, "record_mapped": 27, "not_assessed": 64, "complete": false, "by_state": { "value_present": 27, "not_reported": 0, "unresolved": 0, "not_assessed": 64, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }