Kenya's Foreign Affairs Principal Secretary Korir Sing'Oei Reportedly Shared AI-Generated Video Depicting Fareed Zakaria Praising Sudan Diplomacy

Kenya's Foreign Affairs Principal Secretary (PS) Dr. Korir Sing’Oei shared a purportedly AI-generated deepfake video that allegedly depicted CNN journalist Fareed Zakaria praising Kenya's peace diplomacy in Sudan. After reported backlash from the public and journalists on X (Twitter), Sing'Oei deleted the video, but there were reportedly concerns that Kenya's diplomatic credibility was undermined.

Risk classification

• Primary risk domain: 4 Malicious actors
• Primary risk subdomain: 4.1 Disinformation, surveillance, and influence at scale

The incident involved the use of an AI-generated deepfake video of a prominent journalist to influence public opinion and political discourse regarding Kenya's diplomatic role in Sudan.

Additional risk subdomains

• 4.3 Fraud, scams, and targeted manipulation: The deepfake impersonated a trusted journalist and news organization to gain credibility and manipulate public perception.

Causal factors

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

The incident was caused by a human decision, specifically Kenya's Foreign Affairs Principal Secretary intentionally posting an AI-generated deepfake video on social media.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The incident involves an AI-generated deepfake, which falls under Limited Risk due to transparency obligations requiring users to be informed that the content is AI-generated.

AI system and alleged parties

• AI system: unspecified
• AI purpose: Deepfake Video Generation; Voice Generation
• Behaviour type: Tool
• Alleged developer: Unknown voice cloning technology developers, Unknown deepfake technology developers
• Alleged deployer: Unknown deepfake creator, Korir Sing’Oei
• Alleged harmed parties: Ministry of Foreign Affairs of Kenya, Korir Sing’Oei, Government of Kenya, General public of Kenya, Fareed Zakaria, CNN

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 Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Minor, indirect Minor
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Malicious content

Reported: The report explicitly describes the creation and spread of an AI-generated deepfake video.

Directly caused: An AI-generated deepfake video of CNN journalist Fareed Zakaria was created and posted on X, accumulating over 60,000 views before being deleted.

Epistemic

Reported: The report explicitly describes epistemic harm caused by the spread of false information and the difficulty for officials and the public to spot deepfakes.

Directly caused: The deepfake video falsely portrayed CNN and Fareed Zakaria as supporting Kenya's involvement in Sudan's peace efforts, misleading over 60,000 viewers.

Indirectly caused: The incident highlighted the difficulty for government officials and the public to distinguish between genuine and AI-generated media, potentially polluting the information ecosystem.

People affected

• Occurrences reported: 1
• People reportedly harmed: 2
• People reportedly exposed: 60000

Potential causes

Management

• Inadequate Staff Training: The ministry failed to train diplomats on AI risks and misinformation.
• Lack of Communications Oversight: No communications team vetted the PS's personal official social media posts.

Technology

• Convincing Deepfake Synthesis: AI tools generated highly realistic video and audio of a CNN journalist.
• Social Media Amplification: X platform allowed rapid dissemination and high visibility of the fake video.

Data Inputs

• Unauthorized CNN Media Use: Use of authentic CNN branding and footage to train and generate the deepfake.
• Lack of Metadata Markers: The video lacked embedded cryptographic or metadata tags to signal AI origin.

Human Factors

• Inadequate Digital Literacy: The PS lacked the technical skills to spot obvious signs of video manipulation.
• Confirmation Bias: The PS shared the video eagerly because it supported his diplomatic narrative.
• Failure to Verify Authenticity: The official did not double-check with CNN or official sources before posting.

Process and Methods

• Lack of Social Media Protocols: No formal approval or verification process existed for official ministry posts.
• Absence of Forensic Checks: No standard procedures were in place to run basic checks on shared media.

Regulatory Environment

• Lack of AI Content Regulations: Absence of laws requiring clear labeling or watermarking of AI media.
• Weak Tech Platform Oversight: Social media platforms lacked automated detection and warnings for deepfakes.

Information quality

• Classification confidence: High
• Reason for confidence: The reports provide clear, consistent, and detailed accounts of the incident, including the specific platform used (X), the individuals involved (Korir Sing'Oei and Fareed Zakaria), the reaction of the public, and the subsequent apology and deletion of the video. There is no conflicting information regarding the core events.
• Ambiguities identified: The specific AI tool or generator used to create the deepfake is not identified.
• Alternative interpretations: None. The event is clearly a case of a government official sharing a deepfake video.

A Kenyan government official posted a low-quality deepfake video of a CNN journalist to promote the state's foreign policy. The video was quickly debunked and deleted, resulting in minor diplomatic embarrassment and highlighting the growing strategic risk of synthetic media in official government communications, though it posed no threat to critical infrastructure or national sovereignty.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: Kenya
• Other affected: United States
• Alleged perpetrator: Korir Sing'Oei

Threat characteristics

• Imminence: Long-term. The immediate incident is resolved as the video was deleted, but it highlights an ongoing strategic concern regarding the use of synthetic media in official communications.
• Autonomy: Human-controlled. The AI system was used as a tool to generate the video, and a human official made the final decision to post it.
• Novelty: Established threat. The creation of deepfakes depicting journalists is a well-established threat, and the low quality of the video aligns with existing capabilities.

Impact by dimension

• Physical security: Negligible. The incident involved no threats to physical systems, critical infrastructure, or human safety.
• Information security: Minor. An AI-generated deepfake was used to influence public perception of foreign policy, but its low quality led to rapid detection and deletion, limiting the information warfare impact.
• Sovereignty: Minor. While a senior government official posted the deepfake, causing diplomatic embarrassment, it did not disrupt core sovereign operations or decision-making processes.
• Economic security: Negligible. No impact on financial systems, strategic technologies, or critical economic supply chains was reported.
• Societal stability: Negligible. The incident caused social media backlash and ridicule but did not threaten societal stability, civil liberties, or human rights.