How to Spot AI Scams and Fake Content

The scam: your phone rings, and it sounds exactly like your grandchild, your sibling, your pastor — panicked, in trouble, needing money wired right now. AI can clone a voice from a short clip pulled off social media. The defense is simple: hang up and call the person back on the number you already have for them. Real emergencies survive a callback. Scams don't. And set a family code word — a question only the real person could answer.

AI makes scams more convincing, but the underlying formula is the same as it's always been: (1) Urgency — "you must act right now"; (2) Secrecy — "don't tell anyone"; (3) Unusual payment — gift cards, wire transfers, crypto, cash apps to strangers. Any message with two of those three is a scam until proven otherwise. No real bank, government agency, or family member operates that way.

AI can generate photos of events that never happened and videos of people saying things they never said. Before you share or believe a shocking image: check whether a real news outlet is reporting it. Look closely at hands, teeth, text on signs, and backgrounds — AI images still get details wrong. And ask the oldest question in the book: who benefits if I believe this? If something seems designed to make you furious or terrified, that's exactly when to slow down.

The old advice was "look for bad grammar." AI killed that — scam emails now read perfectly. So judge the request, not the writing. Real companies don't email you asking for passwords, Social Security numbers, or gift cards. When an email claims to be your bank, don't click the link — go to your bank's website directly or call the number on the back of your card. Two minutes of checking beats months of cleanup.

One more safety habit: AI chatbots sometimes state false things with total confidence — the industry calls these hallucinations. For anything that matters — medical decisions, legal questions, money — treat AI as a starting point, not a final answer. Ask it for sources, verify with a real professional, and use tools like Perplexity that show where their information comes from. Trust, but verify. Especially the confident ones.