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How AI Is Being Used to Scam People in West Africa Right Now

⚠️ CyberSense Ghana | Awareness Series — This article is for educational purposes. Recognising these tactics is your first line of defence. Artificial intelligence is no longer just a tool for developers and researchers. In 2024–2026, it has become a weapon — and nowhere is that more evident than across West Africa, where a new wave of AI-powered scams is targeting millions of everyday people…

West African residents are falling victim to a surge in AI-driven scams targeting their phones, social media accounts, and mobile money wallets. Three primary tactics are being employed:

1. Scammers are using AI to clone voices from just a few seconds of recorded audio, allowing them to impersonate family members in urgent situations. They then demand money transfers, which are often sent before victims can verify the caller's identity.

2. Deepfake videos are being generated to make politicians, celebrities, and other public figures appear to endorse fake investment schemes, giveaways, or loans. The videos are convincing and the voices sound genuine, leading victims to part with their savings in Ghana, Senegal, and Togo.

3. AI is being used to craft sophisticated phishing texts and emails that bypass traditional detection methods. Messages are now written flawlessly in local languages using AI tools like ChatGPT, impersonating official notifications from organizations like Ghana's Revenue Authority, mobile money providers, and insurance companies.

To protect oneself, the article advises establishing a secret family code word, verifying calls on saved numbers, doing reverse-image searches to confirm video authenticity, avoiding clicking links in unsolicited messages, and remaining wary of overly persistent online acquaintances asking for money. The key takeaway is that AI has lowered the barrier to deception, so vigilance and verification are crucial defenses against these evolving threats.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

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