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Module 10: AI for Leaders & Professionals

10.5

Scam & Deepfake Defense

Set verification habits and a code word before a fake call, video or message reaches you.

Fraud with AI looks and sounds more convincing than the old kind, so you stop relying on spotting fakes and start relying on a procedure that works even when the fake is perfect.

The threat picture is tracked in the Stanford HAI AI Index (2026) among responsible-AI incidents. The EU AI Act adds transparency duties for AI-generated content and, via the 2026 amendment, bans on tools that generate sexual images of real people without consent (Regulation (EU) 2024/1689 as amended by 2026/1744). The defense habits are practice, not research.

When to use it

Use it when:

Skip it when:

The idea

The scams are old. What AI changed is cost and polish: a fluent message in your language, a cloned voice or a fake video can now be made cheaply and aimed at you. The Stanford HAI AI Index (2026) tracks such cases among responsible-AI incidents, and the EU AI Act now requires labeling of generated content and bans some abusive image tools (Regulation (EU) 2024/1689, as amended).

The limit of labels and law is that criminals ignore both, and a missing label proves nothing. So the old tells (bad spelling, a strange voice, a blurry face) stop being a defense. What stays constant is the shape of the attack: urgency, emotion and a request for money, codes or secrecy. This page therefore trains a procedure instead of an eye. It is practice, not research: a short list of rules you set in calm, so you do not have to judge under pressure.

First step: See What AI Changed

For each attack, tick it if it could plausibly reach you, and write the most likely route in a few words (a channel and a person to impersonate, no real names).

Strong answer: "Voice cloning: a call to my mother, posing as me, using a clip from a public video of mine." Not: "Could happen to anyone."

Attack What AI changed The old tell that no longer works Could reach me Most likely route
Phishing mail and messages Fluent, personalized, correctly spelled, in your language, at scale Broken language and generic greetings ☐
Voice cloning (urgent calls from "family" or "the boss") Tools can imitate a voice from a short recording "I recognize the voice" ☐
Deepfake video Fake video calls and clips of relatives, colleagues or executives, used in romance, investment and payment fraud "I saw them on video" ☐
Fake profiles and sites Complete personas, shops and investment platforms made cheaply Sloppy sites and thin profiles ☐
Sextortion and fake images Fabricated intimate images used for extortion "There can't be a photo; none exists" ☐

The constant underneath: every version combines urgency, emotion and a request (money, codes, secrecy, a click). The defense targets that pattern, not each new format.

Example

Illustrative example: the family and the figures are made up.

A family in Norway agrees the protocol on a Sunday: a code question, the callback rule, the money rule and the no-shame rule.

Step 1: the grandmother ticks voice cloning. Most likely route: a call posing as a grandchild, using a clip from a public video.

Step 2: her version of the second-channel rule: hang up, call the saved number.

Two months later a caller with the grandson's voice says there has been an accident abroad and a lawyer needs a transfer within the hour. She asks the code question. The caller improvises. She hangs up and calls the grandson's saved number: he is at home. The family reports the number.

Three weeks later a teenager pays for a fake concert ticket and tells the family that evening. Because the report to the bank came fast, there was a better chance to act.

Fill it in and keep your answers

This page shows the first step. The whole template is in the MGMT AC app for iPhone, which opens soon. Your answers stay on your own device.

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