OOF-AII-582445

AI Chatbot Reportedly Recommended Herbicide Treatment Linked to Loss of About 25 Acres of Sesame in China

A 67-year-old farmer in Chuzhou, Anhui, reportedly used an AI-generated weed-and-pest-control plan to spray about 150 mu (25 acres) of sesame by drone. By the next day, the crop had largely withered. Agricultural technicians said the recommended mixture included fomesafen, a herbicide unsuitable for blanket application to sesame. The specific AI product and model have not been publicly confirmed.

Event date
2026-07-10
Country
Location not specified
Severity
Moderate
Evidence state
Single-source

Assessment status

Generated from available public incident evidence using OOF® governance methodology. It is not an official investigation, legal determination, regulatory finding, certification, or OOF® Approved Assessment.

View source record from AI Incident Database (Responsible AI Collaborative)

Assessment confidence dimensions

Source corroboration
Single-source

Measures source-group corroboration only; it does not establish factual truth.

Extraction completeness
Moderate

Measures populated source fields after deterministic normalization; it does not measure correctness.

Methodological assignment confidence
Moderate

Measures automated assignment support; substantive correctness requires authorized human review.

Known facts from the incident record

  • The incident record identifies the event date as 2026-07-10.

Reported claims

  • A 67-year-old farmer in Chuzhou, Anhui, reportedly used an AI-generated weed-and-pest-control plan to spray about 150 mu (25 acres) of sesame by drone. By the next day, the crop had largely withered. Agricultural technicians said the recommended mixture included fomesafen, a herbicide unsuitable for blanket application to sesame. The specific AI product and model have not been publicly confirmed.

Material unknowns

  • Independent corroboration is not established in the available incident record.

Primary governance problem

The incident appears to expose a governance problem involving decision, autonomous, cognition, reasoning. Available reporting supports preliminary methodological interpretation, not a finding of fault or non-compliance.

Architecture intelligence

CLIA® — Cognitive Governance Intelligence Architecture

Primary architecture

The reported decision, autonomous, cognition concern falls within the governed questions represented by CLIA® — Cognitive Governance Intelligence Architecture.

Governance focus: How should decision, autonomous, cognition be governed in the conditions described by the available incident evidence?

Deeper methodology is withheld because the available evidence does not justify a Parent Standard or Core Module.

Preliminary governance questions

  • How should decision, autonomous, cognition be governed in the conditions described by the available incident evidence?
  • What operational authority and controls applied to Wu (Chuzhou Farmer), Chatbot Users at the relevant time?
  • What evidence would establish how Large Language Models, Chatbots, Ai Assisted Agricultural Decision Making, Ai Enabled Decision Support Systems produced or enabled the reported outcome?
  • What additional independent evidence is required to resolve the material evidence gaps?

Evidence gaps and limitations

  • Only one independent source group is represented; corroboration is not established.
  • Country could not be resolved from the available evidence.
  • AI technology is not specified in the source record.
  • industry is not specified in the source record.
  • AI system type is not specified in the source record.

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