Printed from Production AI Institute public record

https://www.productionai.institute/graph/sources/src-aiid-cite-706

Production AI Institute · Public recordRecord
Production AI Institute
Briefing
Briefing

Today's public AI briefing: what changed, what went wrong, and what the evidence says.

Open Briefing →
Today's AI briefingThe daily record of what changed and broke.Public record explorerSearch every incident, entity, and source.
Check
Check

Inspect tools, incidents, and data-use disclosures against the public record.

Open Check →
Check an AI toolWhat a tool actually does with your data.Run exposure checkTest your own stack against the record.Data-use indexDisclosures across the major AI tools.Incident registryDocumented production AI failures.
The Lab
The Lab

Independent research instruments: model and agent scorecards, moral-reasoning evals, and ecosystem assessments.

Open The Lab →
The LabHow frontier models and agents actually perform.AI Morality CompassTest models on hard moral cases.Agent readinessIs the agent ecosystem production-ready?Ecosystem assessmentsIndependent reviews of the AI stack.Model & agent evalsOpen evaluations and their results.Research libraryEvidence-led analysis and briefings.
Learn
Learn

The open standard, the tools built on it, and the research that interprets the record.

Open Learn →
The FrameworkThe open production safety framework, explained.AI Adoption GuideFive stages from gated access to safe autonomy.Production AI Deployment GuideBuild a governed production system on Microsoft or AWS.Five-Year Automation RoadmapSequence enterprise capability, controls, and value.WorkflowOS · open sourceBuild governed AI workflows.Workflow libraryReady-made governed workflows.InsightsResearch articles on the record.
Act
Act

Turn uncertainty into public evidence: ask, disclose, build evidence, or correct.

Open Act →
Ask for disclosureRequest a public data-use answer.Submit a correctionFlag something wrong or missing on the record.Save a watchTell PAI what to keep current for you.
Method
Method

How the public record is made, governed, corrected, cited, and kept independent.

Open Method →
How records are madeSourcing, review, and correction.
Check an AI tool
Record
Record
Check an AI tool
<- Public record explorer
research source
Production AI public record - EditorialMethod →

AI Incident Database - Incident 706

Source evidence cited by public records. This page shows where the source is used, its trust tier, and when it was last checked in the seed.

Trust tier
secondary
Linked records
9
Edges
12
Checked
checked 10d ago

Records using this source

  • scammers

    entity | 4 July 2026 | 70%

    scammers - organisation named in the AI Incident Database harm index.

  • unknown-ai-developers

    entity | 13 Nov 2024 | 70%

    unknown-ai-developers - organisation named in the AI Incident Database harm index.

  • bee-cups

    entity | 10 June 2024 | 70%

    bee-cups - organisation named in the AI Incident Database harm index.

  • darn-tough-vermont

    entity | 10 June 2024 | 70%

    darn-tough-vermont - organisation named in the AI Incident Database harm index.

  • jim-carter

    entity | 10 June 2024 | 70%

    jim-carter - organisation named in the AI Incident Database harm index.

  • small-business-customers

    entity | 10 June 2024 | 70%

    small-business-customers - organisation named in the AI Incident Database harm index.

  • small-business-employees

    entity | 10 June 2024 | 70%

    small-business-employees - organisation named in the AI Incident Database harm index.

  • small-businesses

    entity | 10 June 2024 | 70%

    small-businesses - organisation named in the AI Incident Database harm index.

  • Scammers Using AI to Impersonate Small Businesses

    event | 10 June 2024 | 78%

    Scammers are using AI to impersonate small businesses by copying their videos, logos, and social media posts. They create fake listings and ads, diverting customers to cheap knockoffs or stealing their money. This has severely impacted businesses like Bee Cups, Darn Tough Vermont, and Cascade hummingbird feeders, leading to significant financial losses, negative reviews, and damaged reputations. Their deployment of AI makes it challenging for small businesses to combat these…

Source details

  • Type: research

  • Tier: secondary

  • Publisher: AI Incident Database

  • Last checked: 9 July 2026

Public URL

https://incidentdatabase.ai/cite/706/
Cite this record

"AI Incident Database - Incident 706." https://www.productionai.institute/graph/sources/src-aiid-cite-706 (observed 2026-07-09; retrieved 2026-07-19). PAI.

Share on XShare on LinkedInCitation guide →
Public record

This record is maintained by PAI and free to cite. If something is wrong or missing, tell us. Corrections and source suggestions keep the record honest.

Follow policy changes ->Save a watch ->Submit a correction
Records are free to cite. citation guidance.
PAI
Production AI Institute

The public record and operating memory for production AI: what changed, what broke, and what the evidence says.

WorkflowOS · open source (MIT)
Navigate
Briefing
OverviewToday's AI briefingPublic record explorer
Check
Check an AI toolRun exposure checkData-use indexIncident registry
The Lab
The LabAI Morality CompassAgent readinessEcosystem assessmentsModel & agent evalsResearch library
Learn
The FrameworkAI Adoption GuideProduction AI Deployment GuideFive-Year Automation RoadmapWorkflowOS · open sourceWorkflow libraryInsights
Act
Ask for disclosureSubmit a correctionSave a watch
Method & trust
How records are madeCorrectionsHow to citeContact
© 2026 Production AI Institute · CC BY 4.0
AboutPrivacyTermsSecurityGovernanceIndependence