Romance Scammer 'Alla Morgan' Allegedly Exploits Deepfake Technology to Defraud Victim of £17,000

A 77-year-old retired lecturer was defrauded of £17,000 by scammers who used AI-generated deepfake videos and fake documents to impersonate a romantic partner. The victim, who was lonely, was convinced by the realistic nature of the AI-generated content to send money via gift cards, bank transfers, and PayPal. The scam was eventually uncovered when the victim's bank flagged fraudulent activity, and the case is currently under investigation by Police Scotland.

A scammer, or scammers, reportedly used AI-generated deepfake videos and documents to impersonate a fictitious person named "Alla Morgan," allegedly convincing a 77-year-old woman, Nikki MacLeod, to send £17,000 through various payment methods. The deepfakes were allegedly used in establishing credibility so as to enable fraud under the pretense of an online romantic relationship.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 4 Malicious actors
  • Primary risk subdomain: 4.3 Fraud, scams, and targeted manipulation

The incident is a targeted romance scam where scammers used AI-generated deepfakes to exploit a specific victim for financial gain.

Causal factors

  • Entity: Human
  • Intent: Intentional
  • Timing: Post-deployment

The harm was caused by human scammers who intentionally deployed and used AI deepfake technology to deceive and defraud the victim.

EU AI Act risk tier

  • Risk tier: 3 Limited Risk

Risk Level 3: Limited Risk. The incident involves the creation and use of AI-generated content (deepfakes), which falls under Limited Risk and requires transparency obligations under the EU AI Act.

AI system and alleged parties

  • AI system: unspecified
  • AI purpose: Deepfake Video Generation; Voice Generation
  • Behaviour type: Tool
  • Alleged developer: Unknown deepfake technology developers
  • Alleged deployer: Unknown scammers, Alla Morgan
  • Alleged harmed parties: Nikki MacLeod

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Negligible, indirect Negligible
  • Financial: direct Minor, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Negligible, indirect Negligible
  • Differential treatment: direct Negligible, indirect Negligible
  • Civil rights: direct Negligible, indirect Negligible
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Negligible, indirect Negligible
  • Psychological: direct Negligible, indirect Minor
  • Epistemic: direct Negligible, indirect Negligible
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Financial

Reported: The report describes 1 incident causing a total financial loss of £17,000, with an average loss of £17,000 per occurrence.

Directly caused: The victim suffered a direct financial loss of £17,000 through bank transfers, PayPal, and gift cards, of which £7,000 was later recovered.

Psychological

Reported: The report explicitly describes psychological harm, noting that the victim experienced heartbreak and felt foolish.

Indirectly caused: The victim suffered severe emotional distress and heartbreak from the romance scam, stating 'not only do they take all your money but they break your heart.'

Inferred additional harm: It is likely the victim suffered long-term psychological distress, anxiety, and a loss of trust due to the intense emotional manipulation.

People affected

  • Occurrences reported: 1
  • People reportedly harmed: 1
  • People reportedly exposed: 1

Potential causes

Management

  • Platform Safety Gaps: Social media platforms failed to detect or block scam accounts using AI.
  • Lack of Payment Portal Alerts: Payment platforms did not sufficiently warn users about romance scam patterns.

Technology

  • Accessible Deepfake Tools: Scammers easily created realistic videos using face swap apps and filters.
  • Realistic AI Video Generation: AI-generated videos of the persona on an oil rig bypassed initial skepticism.

Data Inputs

  • Misused Identity Photos: Scammers used photos of real people to generate deepfakes without consent.
  • Lack of Image Verification: Reverse image scanning failed to identify the source of the generated images.

Human Factors

  • Emotional Vulnerability: Victim felt lonely after lockdown and a breakup, making her more trusting.
  • Overreliance on Video Proof: Victim assumed video messages were absolute proof of the person's identity.
  • Lack of Deepfake Awareness: Victim was unaware of deepfakes and how easily AI can fake video and audio.

Process and Methods

  • Inadequate Video Verification: Lack of live video calls allowed recorded deepfakes to substitute for proof.
  • Irreversible Payment Methods: Use of Steam cards and PayPal friends and family bypassed protections.

Regulatory Environment

  • Lack of Deepfake Regulations: Absence of strict laws targeting the creation and use of non-consensual AI.
  • Limited AI Generation Oversight: No regulatory standards for watermarking or tracking AI-generated media.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide consistent, detailed accounts of the romance scam, the victim's background, the amount of money lost, and the specific role of AI-generated deepfake videos in reassuring the victim. Multiple news sources corroborate the core facts of the incident.
  • Ambiguities identified: The specific AI software or platform used by the scammers to generate the deepfakes is not identified.
  • Alternative interpretations: None. The incident is clearly a romance scam facilitated by deepfake technology.

A localized financial fraud incident where scammers used AI-generated deepfakes to conduct a romance scam against a UK citizen, resulting in a loss of 17,000 pounds. The incident constitutes cybercrime with negligible national security implications, as it did not target critical infrastructure, government functions, or state stability.

  • Overall national security impact: Negligible
  • Scope: Single nation
  • Primary target: United Kingdom
  • Alleged perpetrator: Unknown

Threat characteristics

  • Imminence: Long-term. The active fraud has been resolved and is under police investigation, posing no immediate national security crisis.
  • Autonomy: Human-controlled. Scammers manually deployed and directed the AI-generated deepfakes to deceive the victim, with no autonomous system decision-making.
  • Novelty: Established threat. AI-facilitated romance scams and deepfake impersonations for financial fraud are well-documented and increasingly common tactics.

Impact by dimension

  • Physical security: Negligible. No threat to physical systems, infrastructure, or human safety was reported in this localized financial fraud case.
  • Information security: Negligible. While AI deepfakes were used, this was a targeted financial scam against a private citizen rather than a state-sponsored disinformation or intelligence operation.
  • Sovereignty: Negligible. No disruption to state authority, electoral systems, or core government decision-making processes occurred.
  • Economic security: Negligible. The financial loss was limited to an individual and poses no threat to national financial systems or strategic technological advantage.
  • Societal stability: Negligible. The incident is an isolated fraud case targeting a single individual, with no wider impact on social cohesion or population-scale civil liberties.
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