Purportedly AI-Generated Videos Reportedly Impersonated Ghanaian President John Mahama to Solicit Money and Personal Data

Ghanaian media reported that an alleged online scam used AI-generated deepfake videos to impersonate President John Dramani Mahama and solicit money and personal information from members of the public. Police said the operation was linked to suspects in Ghana's Volta Region and involved fake social media accounts and digitally manipulated presidential imagery.

Risk classification

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

The suspects used AI-generated deepfakes to impersonate a high-profile individual to fraudulently solicit money and personal information for financial gain.

Additional risk subdomains

• 3.1 False or misleading information: The scammers generated and circulated false deepfake videos of the president to deceive the public.

Causal factors

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

The incident was caused by human scammers intentionally using deployed AI deepfake technology to commit financial fraud.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The report describes the use of 'AI-generated deepfake videos' to impersonate a public figure, which falls under the category of deepfakes requiring transparency obligations.

AI system and alleged parties

• AI system: None named
• AI purpose: Deepfake Video Generation; Voice Generation
• Behaviour type: Tool
• Alleged developer: Synthetic video generation technology developers, Synthetic media generation technology developers, Synthetic audio generation technology developers, Image generation technology developers, Deepfake technology developers
• Alleged deployer: Wisdom James, Thomas Ayoyo, Scammers in West Africa, Scammers in Ghana, Scammers impersonating John Mahama, Scammers, Raphael Ablordeppey, Louis Segbawu, John Kofi Darlington, Edwin Edos, Dzamesi Bright Kofi, Danu Peter, Bishop Esiri, Anipah Jonathan, Ali Lucky
• Alleged harmed parties: Targets of scammers in Ghana, Social media users, public figures, Privacy, People targeted by financial scams, John Mahama, General public of Ghana, General public, Epistemic integrity

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

Malicious content

Reported: The report explicitly describes malicious content created and spread directly by the incident.

Directly caused: The suspects created and circulated AI-generated deepfake videos impersonating the president to facilitate fraud.

Inferred additional harm: It is likely that these deepfake videos reached hundreds of social media users before the suspects were arrested.

Privacy

Reported: The report explicitly describes privacy violations in the form of soliciting personal information.

Directly caused: The suspects used deepfakes to fraudulently solicit personal information from unsuspecting members of the public.

Inferred additional harm: Victims who shared personal information may face ongoing risks of identity theft or further targeted scams.

Epistemic

Reported: The report explicitly describes epistemic harm in the form of AI-generated deepfake videos used to mislead the public.

Directly caused: The creation and distribution of AI-generated deepfake videos of President John Dramani Mahama misled members of the public.

Inferred additional harm: The circulation of deepfakes of high-profile political figures can erode public trust in digital media and official communications.

People affected

• Occurrences reported: 1

Potential causes

Management

• Organized Fraud Management: Cybercrime network managed logistics and roles for the operation.

Technology

• AI Deepfake Tools: Used to create realistic videos impersonating the president.
• Pre-registered SIMs: 120 pre-registered SIM cards used to facilitate anonymous fraud.
• Lack of Platform Detection: Online platforms failed to detect and block deepfake videos.

Data Inputs

• Presidential Media Data: Public footage of the president used to train the AI model.

Human Factors

• Financial Motivation: Suspects driven by financial gain to conduct cyber fraud.
• Victim Gullibility: Unsuspecting public members easily fooled by realistic deepfakes.

Process and Methods

• Coordinated Cybercrime: Network structured to produce and distribute fraudulent content.
• Online Impersonation: Method of soliciting money by pretending to be a public figure.

Regulatory Environment

• SIM Registration Gaps: Weak enforcement allowed acquisition of pre-registered SIM cards.

Information quality

• Classification confidence: High
• Reason for confidence: The report clearly details the police operation, the arrests of 11 individuals, and the specific use of AI-generated deepfakes to impersonate the president for financial fraud. While the exact AI tools used and the specific financial losses are not detailed, the nature of the incident is unambiguous.
• Ambiguities identified: The specific AI software or platform used to generate the deepfakes is not identified.

A cybercrime network in Ghana utilized AI-generated deepfake videos of President John Dramani Mahama to conduct a financial scam. While the incident represents an evolved cyber threat leveraging synthetic media to target citizens and impersonate leadership, it was localized, financially motivated, and successfully disrupted by law enforcement, resulting in minor national security impact.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: Ghana
• Alleged perpetrator: Cybercrime network of Ghanaian and Nigerian nationals

Threat characteristics

• Imminence: Long-term. The specific threat actors have been arrested, leaving the incident as an ongoing strategic capability concern rather than an active crisis.
• Autonomy: Human-controlled. AI was utilized strictly as a generation tool under direct human control and manual execution.
• Novelty: Evolved capability. Represents an advancement in social engineering and cyber fraud through the integration of accessible, realistic synthetic media.

Impact by dimension

• Physical security: Negligible. No physical systems, infrastructure, or human safety threats were reported in this incident.
• Information security: Minor. The scam used deepfakes of a prominent political leader, but functioned as a financially motivated cybercrime rather than a coordinated state-sponsored information operation.
• Sovereignty: Minor. Impersonation of a major political figure represents a minor threat to state authority, but there was no disruption to core government operations or electoral systems.
• Economic security: Minor. The incident involved localized financial fraud targeting individuals, with no systemic threat to national financial infrastructure or strategic technology.
• Societal stability: Minor. The use of political deepfakes can erode public trust and compromise victim privacy, but the impact was localized and managed by law enforcement.