How to Spot AI-Generated Content and Deepfakes

Artificial intelligence can now produce text, images, voices and video convincing enough to fool most people at a glance. That is genuinely useful for creativity and productivity — and genuinely dangerous when used to deceive. This guide gives you practical ways to spot AI-generated content and deepfakes, and to protect yourself and your family, without tipping into paranoia.

Why this matters right now

A few years ago, faked media was crude and easy to catch. Today, AI tools can generate a photograph of a person who does not exist, clone a voice from a few seconds of audio, and produce video of someone saying things they never said. In Ghana and everywhere else, this is already being used for scams, misinformation and fraud. Knowing how to tell real from fake is no longer a technical curiosity — it is a basic life skill.

The goal here is not fear. It is calm, informed awareness. Most of what you see online is still genuine, and the point is simply to develop a healthy scepticism that switches on when something is unusual, high-stakes or asking you to act quickly. Let us go through each type of content in turn.

Spotting AI-generated text

AI text is now very good, so glitch-spotting alone will not save you. Still, some patterns recur. AI writing often sounds fluent but oddly generic and hedged, repeats certain phrases, and stays relentlessly balanced and polished in a way that can feel hollow. It sometimes states facts confidently that turn out to be wrong — the famous "hallucination." And it rarely brings the specific, lived, idiosyncratic detail that a real human writer includes almost without thinking.

But the more reliable test for text is context, not style. Who published this and why? Does the site have a real, accountable author? Do the claims check out against trusted sources? A suspiciously perfect review, a flood of near-identical comments, or an article with no named author and no verifiable facts should all raise your guard, whether or not you can prove a machine wrote them.

Spotting AI-generated images

AI images have improved dramatically but still slip up, especially in the details. Look closely at hands and fingers, which AI often gets wrong — extra fingers, odd bends, strange proportions. Check text in the image, such as signs or labels, which frequently comes out garbled. Examine backgrounds for objects that melt into each other or make no sense, and reflections or shadows that do not match the light. Jewellery, teeth, ears and patterns are other common trouble spots.

Beyond the glitches, ask whether the image is too perfect — flawless skin, impossibly ideal composition, a dreamlike smoothness. And use reverse image search: if a "news" photo appears nowhere else credible, or traces back to an AI gallery, that tells you a great deal. As the technology improves, glitch-spotting will fade, and verifying the source will matter more and more.

Spotting AI-generated voice

Voice cloning is now frighteningly good, and a scammer needs only seconds of someone's audio to imitate them. Cloned voices can still sound slightly flat or unnaturally smooth, with odd pacing, strange emphasis or a lack of natural breathing and background sound — but do not rely on your ear alone, because good clones fool almost everyone.

The real defence against voice scams is procedure, not perception. If you get an urgent call that seems to be from a relative or your bank asking for money or codes, do not act on the call itself. Hang up and call the person or institution back on a number you already trust. Agree a family "safe word" for emergencies. The urgency itself is the warning sign — legitimate callers can wait for you to verify.

Spotting deepfake video

Deepfake video overlays or generates a face, often to make someone appear to say something. Watch for mismatches: lips that do not quite sync with the words, unnatural blinking or none at all, skin tone that shifts oddly around the face, blurring or flicker at the edges of the head, and lighting on the face that does not match the scene. Emotion that does not reach the eyes is another giveaway.

As with everything else, context is your strongest tool. Would this person really say this? Is a shocking clip reported by any credible outlet, or does it exist only on one anonymous account? A dramatic video of a public figure that appears nowhere reputable deserves deep suspicion, however real it looks.

Deepfake scams to watch for

Several scams now use this technology and are worth naming plainly. There is the "family emergency" call using a cloned voice, begging for urgent money. There are investment scams using deepfaked videos of famous or trusted figures appearing to endorse a scheme. There are romance scams using AI-generated photos of people who do not exist. And there is fake customer "support" using cloned voices to extract your codes and passwords.

The common thread is manufactured urgency and a request for money, codes or personal data. That combination should always trigger a pause. No legitimate bank, company or relative will lose anything if you hang up and verify through a channel you trust first.

How to verify anything

Whatever the medium, the same habits protect you. Consider the source and whether it is credible and accountable. Cross-check important claims against several trusted outlets. Reverse-search suspicious images. For anything urgent or high-stakes, contact the supposed person or institution directly through a channel you already trust, never the one that reached you. And be most careful precisely when something is designed to make you feel — outrage, fear or excitement are exactly what manipulators aim for.

Protecting yourself and your family

Share this awareness with the people around you, especially older relatives who are frequent scam targets. Agree a family safe word for emergencies. Be thoughtful about how much of your voice and image you post publicly, since that is the raw material for clones. Above all, cultivate the pause — the habit of stopping to verify before reacting, especially when money, codes or strong emotions are involved. That single habit prevents most of the harm.

Keeping perspective

It is important not to slide into paranoia. The vast majority of what you encounter online is still genuine, and most people you interact with are exactly who they seem. The aim is not to distrust everything, but to switch on a healthy scepticism at the right moments — when stakes are high, when urgency is pushed, when something asks you to send money or reveal secrets. Balanced awareness, not fear, is the goal.

The bottom line

AI-generated content and deepfakes are here and improving fast, but you are not helpless against them. Learn the visual and audio tells, but lean hardest on context, source-checking and the simple habit of verifying before you act. Teach the people you love to do the same. AI literacy has quietly become an essential life skill — and now you have the essentials.

Teaching others to stay safe

One of the most valuable things you can do with this knowledge is pass it on, because scammers deliberately target the people least likely to have heard of deepfakes — often older relatives and those less immersed in technology. A short, calm conversation with your parents, grandparents or less tech-savvy friends can genuinely protect them. Explain simply that voices and even video can now be faked, that any urgent call asking for money or codes should be treated with suspicion, and that the safe response is always to hang up and call back on a known number.

Agreeing a family safe word is one of the simplest and most effective protections there is. Choose a word or phrase that only your close family knows, and agree that any genuine emergency call will include it. If a panicked "relative" calls asking for money and cannot say the safe word, everyone knows to stop. It costs nothing, takes two minutes to set up, and defeats even a technically perfect voice clone. Spreading these small habits through your community does more good than any detection tool, because it puts the defence where it belongs — in people's judgement rather than in a piece of software that will always be one step behind the fakers.

Frequently asked questions