How to Spot AI-Generated Images and Deepfakes

Why this skill matters now

AI can now generate realistic images, and even video and audio ('deepfakes'), of people and events that never happened. This is being used for scams, misinformation, fake news, and harassment. As the technology improves, telling real from fake by eye alone is getting harder, which makes media literacy, a healthy, verifying skepticism, one of the most important skills for navigating today's internet. You don't need to become an expert; you need a few practical checks and, above all, the habit of not automatically believing striking images and videos you encounter.

Visual signs in AI images

AI-generated images often (though decreasingly) contain telltale flaws if you look closely. Check hands and fingers (wrong number, odd shapes), a classic giveaway. Look for garbled text in signs or labels, distorted backgrounds, objects that blend unnaturally, asymmetric or mismatched details (earrings, eyes), and a certain too-smooth or 'plastic' look. Inconsistent lighting, shadows, or reflections can betray a fake. Weird details in the background, where the AI pays less attention, are often revealing. These clues help, but be warned: they're becoming less reliable as models improve.

Signs in deepfake videos

Deepfake videos have their own tells, though these too are fading as technology advances. Watch for unnatural facial movements, odd blinking (too much or too little), lips not quite syncing with audio, strange edges around the face or hair, inconsistent skin texture or lighting on the face versus the body, and a subtly 'off' quality. Audio deepfakes may have unnatural pacing, tone, or robotic artifacts. As with images, don't rely solely on spotting flaws, sophisticated deepfakes may have none obvious, which is why the verification habits below matter more than visual inspection alone.

The real skill: verify the source

Here's the crucial shift: rather than only trying to detect fakes by eye (a losing battle as they improve), focus on verifying sources. Where did this image or video come from? Is it from a credible, established source, or an anonymous or suspicious account? Is the same event reported by multiple reputable outlets? Extraordinary claims demand extraordinary evidence, if a shocking image or video appears only on one obscure source, be very skeptical. Checking provenance and corroboration is far more reliable than squinting at pixels, and it works even against flawless fakes.

Practical verification tools

A few concrete techniques help. Reverse image search (uploading an image to a search engine) can reveal where it originated, whether it's old, or if it's been debunked. Check whether reputable fact-checking sites have addressed a viral image or claim. Look at the account or source's history and credibility. For suspected deepfakes of public figures, check official channels for confirmation or denial. And consider context and plausibility, does this fit what's genuinely happening, or is it designed to provoke a strong reaction? These tools turn skepticism into verification.

The mindset that protects you

The most important defense isn't a checklist, it's a mindset. Approach striking, emotionally-charged, or too-good-or-bad-to-be-true images and videos with default skepticism, especially before sharing them. Pause before reacting or reposting; misinformation spreads through instant emotional sharing. Ask 'who made this, where did it come from, and is it corroborated?' Recognize that anyone can now fabricate convincing media, so seeing is no longer automatically believing. This calm, verify-first attitude, applied consistently, protects you and others far better than any single detection trick, and it only becomes more essential as AI fakes improve.

Related on Skillo

See also: How do AI image generators work?, What is social engineering and how to defend.

Sources

• Deepfake - Wikipedia

Published date reflects the original event date (2025-12-02). This article is original Skillo editorial written from the sources above; facts were verified in September 2026.