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Published

fraud

vr.tr.fraud · thing-q28813

Let an agent help people recognise, prevent and report fraud, support victims with practical next steps, and decline any help committing fraud.

Thing Registry Activities and processes ACT.ACT
Bundle → Layer → Finding → QuestionsClassifiersWhat it isWhy it existsDistinguishing featuresWhat robots and AI may and may not doMoral aspectsOwnersLinks to other meta-modelsIdentity and identifiersDirect propertiesRecognitionCapabilities and actionsHazards and failure modesStandards and interfacesContext of useSources

Bundle → Layer → Finding → Questions Filled

4 bundles · 8 layers · 8 findings · 16 questions

Now Immediate steps.

Paid

Money sent.

Paid

Money already sent.

  1. Has someone already paid or shared bank details with a suspected fraudster? boundary
  2. Should they contact their bank immediately using a trusted number? action

Report

Reporting.

Report

Reporting fraud.

  1. Where should this fraud be reported here, such as police or a fraud reporting centre? provenance
  2. What evidence should be kept? action
Recognise Warning signs.

Signs

Red flags.

Signs

Warning signs.

  1. Does this message show common signs of a scam, such as urgency or unusual payment methods? boundary
  2. Which official scam guidance describes it? provenance

Verify

Checking.

Verify

Verification.

  1. How can the claimed organisation be contacted independently to verify? action
  2. Is the company registered with the regulator? provenance
Support Victims.

Victims

Support services.

Victims

Victim support.

  1. Which victim support services help people affected by fraud? provenance
  2. Is the person distressed or at risk? boundary

Recovery

Recovery scams.

Recovery

Recovery scams.

  1. Is someone offering to recover lost money for a fee? boundary
  2. Why is this often a second scam? provenance
Limits Agent conduct.

Decline

No help to defraud.

Decline

Fraud limits.

  1. Does the request seek to deceive others for gain? boundary
  2. How should the agent decline? action

Business

Prevention in organisations.

Business

Organisational prevention.

  1. Which controls prevent invoice and payment fraud in organisations? provenance
  2. How should staff be trained? action

Classifiers Filled

Family
Thing Registry
Category
Activities and processes
Entry kind
thing
Plane
ACT
Domain
ACT.ACT
Other names and narrower kinds
marriage swindler, counterfeit medicines online, exit scam, false flag, Tsugaru election, rogueware, pyramid scheme, junk science, blessing loom, airplane game, franchise fraud, journalistic fraud

What it is Filled

Intentional deception to secure unlawful or unfair gain or to cause loss to another, such as investment and romance scams, phishing, identity fraud, invoice fraud, counterfeit medicines sold online, exit scams and election fraud; fraud is a crime in most jurisdictions.

Why it exists Filled

Let an agent help people recognise, prevent and report fraud, support victims with practical next steps, and decline any help committing fraud.

Distinguishing features Filled

  • Intentional deception
  • Aims at gain or causing loss
  • Often uses impersonation
  • Criminal offence

What robots and AI may and may not do Filled

Must not

  • Assist in planning, writing, executing or concealing any fraud or scam.
  • Impersonate a bank, authority or person to obtain money or data.
  • Accuse a named person of fraud without a conviction or clear evidence.
  • Collect or share victims' personal data beyond what reporting requires.

Only with a human decision

  • Freezing an account or blocking a payment on suspicion of fraud.
  • Reporting an identifiable person to the police.

May

  • Explain common types of fraud and the warning signs at a general level.
  • Help a person report suspected fraud to their bank or the competent authority.
  • Flag messages or transactions that match known fraud patterns to the person they concern.

Moral aspects Filled

  • Fraud victims often lose savings and feel shame, which keeps them from reporting.
  • Fraud detection can wrongly flag innocent people, often from minority or poor communities.

Who is affected

  • Victims, often older or vulnerable people
  • People wrongly suspected
  • Businesses and public funds

Owners Filled

Steward

Nobody owns it; police, regulators and courts address it.

Master systems

  • Police and national fraud reporting centres

Links to other meta-models Filled

parent

  • Q170028 - registry parent class
  • Q19 - registry parent class
  • Q2920615 - registry parent class
  • Q83267 - registry parent class
  • crime - legal status

related

  • deception - category
  • phishing - example
  • police and fraud reporting centres - authority

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.fraud
  • Wikidata: Q28813 (https://www.wikidata.org/wiki/Q28813)

Direct properties not applicable Not applicable

Not applicable

Plane ACT: no invented physical properties.

Recognition optional Filled

  • Urgency, secrecy and unusual payment requests
  • Impersonation of banks, police or officials
  • Honest mistakes are not fraud
  • Deceptive messages, fake websites, forged documents and misleading offers.

Capabilities and actions required Filled

  • recognise warning signs of common scams
  • take immediate steps after fraud
  • report fraud to the right bodies
  • find victim support

Hazards and failure modes required Filled

  • Victims sending more money to recovery scams
  • Shame preventing reporting
  • Facilitating fraud

Standards and interfaces required Filled

  • National fraud offences
  • Payment services rules on reimbursing fraud victims
  • Consumer protection law

Context of use required Filled

  • A crime and risk relevant to consumers, businesses and institutions.
  • investment and crypto scams
  • romance and impersonation scams
  • phishing and identity fraud
  • business and invoice fraud
  • counterfeit goods and medicines

Sources Filled

  1. Wikidata item Q28813: fraud - identity and sense of the item
  2. Wikipedia: Fraud - general description of the item

Open questions

  • Should fraud types be separate entries?
  • How should reporting routes be localised?
  • How should scam warnings be linked?

Machine files

Card as JSON Specification Card backlog vercy.card/1

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q28813/spec.json