{ "id": "AIBD-0122", "title": "CBP machine-learning flag at San Ysidro leads to 75 kg narcotics seizure and arrest (2023)", "summary": "CBP ML model flagged a car's crossing history at San Ysidro in 2023; review found 75 kg of narcotics and the driver was arrested.", "date_observed": "2023-11-28", "date_basis": "unassessed", "date_precision": "unassessed", "benefit_status": null, "source_collection": null, "source_entry": null, "account": "In 2023 a car driving north from Mexico approached the Point of Entry at San Ysidro. A U.S. Customs and Border Protection (CBP) machine-learning model identified a suspicious pattern in its border-crossing history and flagged it for review. The review found 75 kilograms of narcotics hidden in the vehicle and led to the driver's arrest (DHS AI page, 27 November 2023). At the Axios AI+ Summit on 28 November 2023 Secretary Alejandro Mayorkas described a matching case. The Office of Field Operations model flagged a “truck” in 1.4 seconds that held about 75 kilograms of narcotics. DHS's 2024 AI Roadmap repeats it: a secondary-review flag yielding over 75 kg of drugs. No source names the drug or the seizure date.", "category": "harm prevented", "unexpected": false, "purpose": "CBP's model was built to identify potentially suspicious patterns in vehicle border-crossing histories (DHS AI Roadmap 2024). It flags vehicles for secondary review at ports of entry. The San Ysidro seizure was that use, not a side effect.", "system": "U.S. Customs and Border Protection (Office of Field Operations) machine-learning model that scores vehicle border-crossing histories for suspicious patterns; not named in any source", "model_version": null, "developer": null, "deployer": "U.S. Customs and Border Protection, Office of Field Operations (U.S. Department of Homeland Security)", "location": "San Ysidro, United States", "domain": "Border security and law enforcement", "segment": "Narcotics interdiction at a land port of entry", "benefit_type": "Reduced Violence", "taxonomy_note": null, "registry_ids": { "oecd_aim": "2023-11-28-9430" }, "ratings": [ { "group": "societal", "depth": 3, "reason": "DHS states that 75 kilograms of narcotics hidden in the car were found and the driver arrested. That load did not reach U.S. streets. The drug is not named in any source, so a life-saving claim is not supported." }, { "group": "organizational", "depth": 2, "reason": "CBP's Office of Field Operations obtained a seizure and an arrest from a flag that Mayorkas said took 1.4 seconds. DHS leads both its AI page and its 2024 AI Roadmap with the case as its example of AI in use." } ], "ai_role": { "status": "assessed", "statement": "The model's contribution was the referral. DHS says it identified a suspicious pattern in the car's border-crossing history and flagged it for review. Mayorkas said the anomaly was identified in 1.4 seconds. The discovery of the narcotics and the arrest were done by officers in secondary review. No source states whether the car would have been referred without the flag. The model's counterfactual contribution is thus asserted by DHS, not demonstrated. The Monitor entry also bundles Mayorkas's claim that AI age-progression imagery has recovered abducted children. That claim names no case, date, or child." }, "evidence": [ { "kind": "press release", "citation": "U.S. Department of Homeland Security (2023). Artificial Intelligence at DHS. dhs.gov (page last updated 27 November 2023; archived 1 December 2023 at web.archive.org/web/20231201224758/https://www.dhs.gov/ai).", "title": "Artificial Intelligence at DHS", "url": "https://www.dhs.gov/ai", "date": "2023-11-27", "written_by": "deployer", "quote": "flagged it for further review, which revealed 75 kilograms of narcotics hidden in the vehicle and led to the arrest of the driver" }, { "kind": "news report", "citation": "Giaritelli, A. (2023). Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children. Washington Examiner.", "title": "Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children", "url": "https://www.washingtonexaminer.com/policy/technology/mayorkas-dhs-ai-fentanyl-border-kidnapped-children", "date": "2023-11-28", "written_by": "independent", "quote": "in 1.4 seconds, we identified an anomaly of a particular truck that ended up having about 75 kilograms of narcotics in it" }, { "kind": "news report", "citation": "Kelley, A. (2023). DHS aims to lead in defense against 'adversarial' AI. Nextgov/FCW.", "title": "DHS aims to lead in defense against 'adversarial' AI", "url": "https://www.nextgov.com/artificial-intelligence/2023/11/dhs-aims-lead-defense-against-adversarial-ai/392321/", "date": "2023-11-28", "written_by": "independent", "quote": "AI systems are currently aiding DHS operations in border patrol efforts and combating drug trafficking and creating age progression estimations of missing children" }, { "kind": "report", "citation": "U.S. Department of Homeland Security (2024). Artificial Intelligence Roadmap 2024. dhs.gov (PDF).", "title": "Department of Homeland Security Artificial Intelligence Roadmap 2024", "url": "https://www.dhs.gov/sites/default/files/2024-03/24_0315_ocio_roadmap_artificialintelligence-ciov3-signed-508.pdf", "date": null, "written_by": "deployer", "quote": "CBP recently used the model to flag a car for secondary review, which yielded the discovery of over 75 kgs of drugs hidden in the automobile" } ], "replication": { "produced_by": [ "A CBP machine-learning model scoring vehicle border-crossing histories was running on traffic at the San Ysidro Point of Entry", "The model's flag reached officers in time to send the car to further (secondary) review before it left the port", "Officers physically searched the car, found the 75 kilograms of narcotics and arrested the driver" ], "must_hold": [ "The crossing-history pattern the model keys on must actually distinguish smuggling loads. No source gives hit rates or false-positive rates", "Officers must have the discretion and capacity to act on a flag within normal crossing processing", "The seizure is documented only by DHS and the Secretary. An independent CBP release or court filing giving the date, drug and quantity has not been found" ], "echoes": [] }, "paired_incident": null, "headline": "CBP machine-learning flag at San Ysidro finds 75 kg of narcotics", "metric": "review found 75 kg of narcotics and the driver was arrested", "comparator": null, "later": { "status": "unknown", "date": null, "note": "DHS's March 2024 AI Roadmap restates the same seizure as an example; no later development, seizure date or drug type was found.", "quote": null, "url": null }, "value": null, "developer_country": null, "deployer_country": "United States", "unrated_because": null, "brief_notes": null, "brief": null, "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2023-11-28-9430", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Reduced Violence 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 deployer added from the organization's own site or a registry.", "source": "https://en.wikipedia.org/wiki/U.S._Customs_and_Border_Protection", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "source": null, "editor": "AIBD" } ], "confidence": "reported", "shade": "medium", "claim_status": "Independently reported", "claim_basis": "Sources: two independent news reports, the deployer's report and the deployer's press release. The cited evidence includes no independent study or report and no finding by a regulator or court.", "profile": { "case_id": "AIBD-0122", "catalog_version": "1.0.0", "source_fingerprint": "b3d5594ab9851e2a212fa5733953fb908641fb42e802ba3b5b44a1e8bb9fce8f", "collection_refs": [ { "collection_id": "aibd", "version": "snapshot-8bf7cfec9cb185aa" }, { "collection_id": "aibd", "version": "2026-10-25" }, { "collection_id": "adyt", "version": "2026-10-25" }, { "collection_id": "chanticleer", "version": "2026-10-25" } ], "source_ids": [ "AIBD-0122-source-0001", "AIBD-0122-source-0002", "AIBD-0122-source-0003", "AIBD-0122-source-0004" ], "families": { "strategic assessments": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "evaluations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "monetary observations": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] }, "institutional decisions": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial", "record_ids": [] } }, "fields": { "actors[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "deployer": "U.S. Customs and Border Protection, Office of Field Operations (U.S. Department of Homeland Security)" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "deployer" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "actors[].ownership_control": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "ai_contribution": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ai_role": { "status": "assessed", "statement": "The model's contribution was the referral. DHS says it identified a suspicious pattern in the car's border-crossing history and flagged it for review. Mayorkas said the anomaly was identified in 1.4 seconds. The discovery of the narcotics and the arrest were done by officers in secondary review. No source states whether the car would have been referred without the flag. The model's counterfactual contribution is thus asserted by DHS, not demonstrated. The Monitor entry also bundles Mayorkas's claim that AI age-progression imagery has recovered abducted children. That claim names no case, date, or child." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "ai_relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "category": "harm prevented", "ai_role": { "status": "assessed", "statement": "The model's contribution was the referral. DHS says it identified a suspicious pattern in the car's border-crossing history and flagged it for review. Mayorkas said the anomaly was identified in 1.4 seconds. The discovery of the narcotics and the arrest were done by officers in secondary review. No source states whether the car would have been referred without the flag. The model's counterfactual contribution is thus asserted by DHS, not demonstrated. The Monitor entry also bundles Mayorkas's claim that AI age-progression imagery has recovered abducted children. That claim names no case, date, or child." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ai_role", "category" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].alternatives": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].assessor_date": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "assessments[].depth": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "societal", "depth": 3, "reason": "DHS states that 75 kilograms of narcotics hidden in the car were found and the driver arrested. That load did not reach U.S. streets. 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The cited evidence includes no independent study or report and no finding by a regulator or court.", "interpretation": "Existing display rule preserved; the richer outcome-specific confidence question still needs review." } }, "provenance": { "kind": "curatorial", "basis": "Derived from the existing case display properties; not a new evidentiary judgment.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "assessments[].rationale": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "societal", "depth": 3, "reason": "DHS states that 75 kilograms of narcotics hidden in the car were found and the driver arrested. That load did not reach U.S. streets. 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Roadmap restates the same seizure as an example; no later development, seizure date or drug type was found." } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "later" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "human_oversight": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "id": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "id": "AIBD-0122" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "id" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "infrastructure_dependencies[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].beneficiaries": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].beneficiary_count": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].benefit_type": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "benefit_type": "Reduced Violence" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].claim": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "account": "In 2023 a car driving north from Mexico approached the Point of Entry at San Ysidro. A U.S. Customs and Border Protection (CBP) machine-learning model identified a suspicious pattern in its border-crossing history and flagged it for review. The review found 75 kilograms of narcotics hidden in the vehicle and led to the driver's arrest (DHS AI page, 27 November 2023). At the Axios AI+ Summit on 28 November 2023 Secretary Alejandro Mayorkas described a matching case. The Office of Field Operations model flagged a “truck” in 1.4 seconds that held about 75 kilograms of narcotics. DHS's 2024 AI Roadmap repeats it: a secondary-review flag yielding over 75 kg of drugs. No source names the drug or the seizure date.", "benefit_type": "Reduced Violence" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "account", "benefit_type" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].distribution": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].duration": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].id": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].stakeholder_group": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "ratings": [ { "group": "societal", "depth": 3, "reason": "DHS states that 75 kilograms of narcotics hidden in the car were found and the driver arrested. That load did not reach U.S. streets. The drug is not named in any source, so a life-saving claim is not supported." }, { "group": "organizational", "depth": 2, "reason": "CBP's Office of Field Operations obtained a seizure and an arrest from a flag that Mayorkas said took 1.4 seconds. DHS leads both its AI page and its 2024 AI Roadmap with the case as its example of AI in use." } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "ratings" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "outcomes[].status": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].tradeoffs": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "outcomes[].unexpected": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "unexpected": false, "purpose": "CBP's model was built to identify potentially suspicious patterns in vehicle border-crossing histories (DHS AI Roadmap 2024). It flags vehicles for secondary review at ports of entry. The San Ysidro seizure was that use, not a side effect." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "unexpected", "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "places[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "location": "San Ysidro, United States", "deployer_country": "United States" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "location", "deployer_country" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "purpose": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "purpose": "CBP's model was built to identify potentially suspicious patterns in vehicle border-crossing histories (DHS AI Roadmap 2024). It flags vehicles for secondary review at ports of entry. The San Ysidro seizure was that use, not a side effect." } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "purpose" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "record_dates": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "date_observed": "2023-11-28", "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2023-11-28-9430", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Reduced Violence 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 deployer added from the organization's own site or a registry.", "source": "https://en.wikipedia.org/wiki/U.S._Customs_and_Border_Protection", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "date_observed", "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "replication.attempts[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "replication.conditions": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "replication": { "produced_by": [ "A CBP machine-learning model scoring vehicle border-crossing histories was running on traffic at the San Ysidro Point of Entry", "The model's flag reached officers in time to send the car to further (secondary) review before it left the port", "Officers physically searched the car, found the 75 kilograms of narcotics and arrested the driver" ], "must_hold": [ "The crossing-history pattern the model keys on must actually distinguish smuggling loads. No source gives hit rates or false-positive rates", "Officers must have the discretion and capacity to act on a flag within normal crossing processing", "The seizure is documented only by DHS and the Secretary. An independent CBP release or court filing giving the date, drug and quantity has not been found" ], "echoes": [] } } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "replication" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "revision_history[]": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "revisions": [ { "date": "2026-10-20", "change": "Record drafted from the OECD Monitor entry and the cited sources.", "source": "https://oecd.ai/en/incidents/2023-11-28-9430", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Benefit type set to Reduced Violence 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 deployer added from the organization's own site or a registry.", "source": "https://en.wikipedia.org/wiki/U.S._Customs_and_Border_Protection", "editor": "AIBD" }, { "date": "2026-10-21", "change": "Prose pass: a rating reason, account, purpose, the replication conditions, the system's part rewritten in shorter sentences with abbreviations expanded; facts, figures and quotations unchanged.", "editor": "AIBD" } ] } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "revisions" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sector": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "domain": "Border security and law enforcement", "segment": "Narcotics interdiction at a land port of entry" } }, "provenance": { "kind": "legacy_record", "basis": "Preserved from the existing AIBD record; external sources were not rechecked.", "record_fields": [ "domain", "segment" ], "source_refs": [] }, "review_state": "record_mapped", "coverage": "partial" }, "sources[].access_version": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].citation_locator": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "press release", "citation": "U.S. Department of Homeland Security (2023). Artificial Intelligence at DHS. dhs.gov (page last updated 27 November 2023; archived 1 December 2023 at web.archive.org/web/20231201224758/https://www.dhs.gov/ai).", "title": "Artificial Intelligence at DHS", "url": "https://www.dhs.gov/ai", "date": "2023-11-27", "written_by": "deployer", "quote": "flagged it for further review, which revealed 75 kilograms of narcotics hidden in the vehicle and led to the arrest of the driver" }, { "kind": "news report", "citation": "Giaritelli, A. (2023). Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children. Washington Examiner.", "title": "Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children", "url": "https://www.washingtonexaminer.com/policy/technology/mayorkas-dhs-ai-fentanyl-border-kidnapped-children", "date": "2023-11-28", "written_by": "independent", "quote": "in 1.4 seconds, we identified an anomaly of a particular truck that ended up having about 75 kilograms of narcotics in it" }, { "kind": "news report", "citation": "Kelley, A. (2023). DHS aims to lead in defense against 'adversarial' AI. Nextgov/FCW.", "title": "DHS aims to lead in defense against 'adversarial' AI", "url": "https://www.nextgov.com/artificial-intelligence/2023/11/dhs-aims-lead-defense-against-adversarial-ai/392321/", "date": "2023-11-28", "written_by": "independent", "quote": "AI systems are currently aiding DHS operations in border patrol efforts and combating drug trafficking and creating age progression estimations of missing children" }, { "kind": "report", "citation": "U.S. Department of Homeland Security (2024). Artificial Intelligence Roadmap 2024. dhs.gov (PDF).", "title": "Department of Homeland Security Artificial Intelligence Roadmap 2024", "url": "https://www.dhs.gov/sites/default/files/2024-03/24_0315_ocio_roadmap_artificialintelligence-ciov3-signed-508.pdf", "written_by": "deployer", "quote": "CBP recently used the model to flag a car for secondary review, which yielded the discovery of over 75 kgs of drugs hidden in the automobile" } ] } }, "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[].id": { "state": "value_present", "value": { "kind": "identifiers", "identifiers": [ "AIBD-0122-source-0001", "AIBD-0122-source-0002", "AIBD-0122-source-0003", "AIBD-0122-source-0004" ], "role": "Existing evidence items, in their original order" }, "provenance": { "kind": "curatorial", "basis": "Stable within the fingerprinted record version; no source content or source review has been added.", "record_fields": [], "source_refs": [] }, "review_state": "record_mapped", "coverage": "complete" }, "sources[].language": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "sources[].relationship": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "evidence": [ { "kind": "press release", "citation": "U.S. Department of Homeland Security (2023). Artificial Intelligence at DHS. dhs.gov (page last updated 27 November 2023; archived 1 December 2023 at web.archive.org/web/20231201224758/https://www.dhs.gov/ai).", "title": "Artificial Intelligence at DHS", "url": "https://www.dhs.gov/ai", "date": "2023-11-27", "written_by": "deployer", "quote": "flagged it for further review, which revealed 75 kilograms of narcotics hidden in the vehicle and led to the arrest of the driver" }, { "kind": "news report", "citation": "Giaritelli, A. (2023). Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children. Washington Examiner.", "title": "Mayorkas: DHS using AI to catch fentanyl at border, track down kidnapped children", "url": "https://www.washingtonexaminer.com/policy/technology/mayorkas-dhs-ai-fentanyl-border-kidnapped-children", "date": "2023-11-28", "written_by": "independent", "quote": "in 1.4 seconds, we identified an anomaly of a particular truck that ended up having about 75 kilograms of narcotics in it" }, { "kind": "news report", "citation": "Kelley, A. (2023). DHS aims to lead in defense against 'adversarial' AI. Nextgov/FCW.", "title": "DHS aims to lead in defense against 'adversarial' AI", "url": "https://www.nextgov.com/artificial-intelligence/2023/11/dhs-aims-lead-defense-against-adversarial-ai/392321/", "date": "2023-11-28", "written_by": "independent", "quote": "AI systems are currently aiding DHS operations in border patrol efforts and combating drug trafficking and creating age progression estimations of missing children" }, { "kind": "report", "citation": "U.S. Department of Homeland Security (2024). Artificial Intelligence Roadmap 2024. dhs.gov (PDF).", "title": "Department of Homeland Security Artificial Intelligence Roadmap 2024", "url": "https://www.dhs.gov/sites/default/files/2024-03/24_0315_ocio_roadmap_artificialintelligence-ciov3-signed-508.pdf", "written_by": "deployer", "quote": "CBP recently used the model to flag a car for secondary review, which yielded the discovery of over 75 kgs of drugs hidden in the automobile" } ] } }, "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": "CBP ML model flagged a car's crossing history at San Ysidro in 2023; review found 75 kg of narcotics and the driver was arrested.", "account": "In 2023 a car driving north from Mexico approached the Point of Entry at San Ysidro. A U.S. Customs and Border Protection (CBP) machine-learning model identified a suspicious pattern in its border-crossing history and flagged it for review. The review found 75 kilograms of narcotics hidden in the vehicle and led to the driver's arrest (DHS AI page, 27 November 2023). At the Axios AI+ Summit on 28 November 2023 Secretary Alejandro Mayorkas described a matching case. The Office of Field Operations model flagged a “truck” in 1.4 seconds that held about 75 kilograms of narcotics. DHS's 2024 AI Roadmap repeats it: a secondary-review flag yielding over 75 kg of drugs. No source names the drug or the seizure date." } }, "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": "U.S. Customs and Border Protection (Office of Field Operations) machine-learning model that scores vehicle border-crossing histories for suspicious patterns; not named in any source" } }, "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": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "taxonomy_crosswalks[]": { "state": "not_assessed", "review_state": "not_assessed", "coverage": "partial" }, "title": { "state": "value_present", "value": { "kind": "record_fields", "fields": { "title": "CBP machine-learning flag at San Ysidro leads to 75 kg narcotics seizure and arrest (2023)", "headline": "CBP machine-learning flag at San Ysidro finds 75 kg of narcotics" } }, "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": [ "b3d5594ab9851e2a212fa5733953fb908641fb42e802ba3b5b44a1e8bb9fce8f" ], "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": "In 2023 a car driving north from Mexico approached the Point of Entry at San Ysidro. A U.S. Customs and Border Protection (CBP) machine-learning model identified a suspicious pattern in its border-crossing history and flagged it for review. The review found 75 kilograms of narcotics hidden in the vehicle and led to the driver's arrest (DHS AI page, 27 November 2023). At the Axios AI+ Summit on 28 November 2023 Secretary Alejandro Mayorkas described a matching case. The Office of Field Operations model flagged a “truck” in 1.4 seconds that held about 75 kilograms of narcotics. DHS's 2024 AI Roadmap repeats it: a secondary-review flag yielding over 75 kg of drugs. No source names the drug or the seizure date.", "replication": { "produced_by": [ "A CBP machine-learning model scoring vehicle border-crossing histories was running on traffic at the San Ysidro Point of Entry", "The model's flag reached officers in time to send the car to further (secondary) review before it left the port", "Officers physically searched the car, found the 75 kilograms of narcotics and arrested the driver" ], "must_hold": [ "The crossing-history pattern the model keys on must actually distinguish smuggling loads. No source gives hit rates or false-positive rates", "Officers must have the discretion and capacity to act on a flag within normal crossing processing", "The seizure is documented only by DHS and the Secretary. An independent CBP release or court filing giving the date, drug and quantity has not been found" ], "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": 28, "reviewed": 0, "record_mapped": 28, "not_assessed": 63, "complete": false, "by_state": { "value_present": 28, "not_reported": 0, "unresolved": 0, "not_assessed": 63, "not_applicable": 0, "withheld": 0, "source_unavailable": 0 } } } }