AI & Trust in Information

Looking real is no longer enough.

How Not to Be Fooled by AI

What to trust when texts, images, voices, and videos can be fabricated

Recognize when to pause, what to confirm, and how to seek evidence before believing, sharing, or acting.

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This book is currently available in Brazilian Portuguese.

EditionIn preparation2026Book languagePortugueseBrazilFormatsComing soonComing soon

About the book

A complete view of the book.

A familiar voice asks for help. A video shows someone saying something surprising. A polished answer seems to settle the question. How Not to Be Fooled by AI starts with these situations to show why looking real is not enough when texts, images, voices, and videos can be fabricated or used out of context.

With no technical background required, the book proposes questions and habits for assessing sources, evidence, and consequences before believing, sharing, or acting. It also addresses trust in relationships, family conversations, and what to do after recognizing a mistake. It promises no immunity: the aim is greater autonomy and discernment without turning everyday life into constant suspicion.

The challenge

Does this situation sound familiar?

A familiar voice asks for money, a video seems to offer conclusive proof, and a polished answer sounds certain. Text, images, voices, and videos can be fabricated or taken out of context; appearance alone cannot tell us whether to trust and act.

The book’s approach

A path from intention to practice.

Learn to separate appearance, source, identity, and truth; pause in proportion to the risk, seek independent confirmation, and talk about uncertainty without shame or constant suspicion.

“The question is not only whether AI was used. It is whether there is enough evidence to trust this decision.”

By the end of the book, you will be able to:

✓Notice when a message calls for a pause before action

✓Tell convincing content apart from trustworthy evidence

✓Confirm urgent requests through an independent channel

✓Assess claims in images, videos, and assistant answers

✓Talk about deception respectfully, without blaming those who believed it

✓Make simple agreements about trust in everyday life

Questions that guide the reading

Answers begin with the right questions.

Questions explored through context, criteria, and examples.

What should you do when a familiar voice asks for money in a message?

Does a photo or video actually support the story accompanying it?

When does a polished AI answer need to be checked?

How can you help someone who believed or shared something false?

Inside the book

A structured journey that helps you move forward.

Concepts and applications presented in a coherent sequence.

Appearance and trust

Understand why something plausible is not necessarily authentic or true.

Pausing and confirming

Build a routine for pausing, identifying the claim, and checking it independently.

Voices and identities

Recognize the risks of voice and identity imitation without treating technology as infallible proof.

Images, videos, and context

Examine source, editing, cropping, and context before accepting an image or video.

AI answers and news

Check facts and references in assistant responses and in news that confirms your beliefs.

Agreements and recovery

Agree on ways to confirm requests with people close to you and correct mistakes without humiliation.

Content in preparation

Planned book structure

Explore the 4 parts and 14 planned chapters. Titles may be refined during editorial review.

View chapters14 chapters

Part I — When looking real is not enough

The voice is familiar. The request still needs confirmation
Convincing does not mean true
Before believing, sharing, or acting

Part II — Everyday traps

Your voice, your face, someone else in control
A celebrity recommends it. Who is selling?
Reviews, résumés, and profiles: who is on the other side?
Affection, companionship, and artificial relationships

Part III — When information deceives

The photograph shows it. But what does it prove?
The video looks complete. The story may not be
The assistant answered with absolute certainty
The news that confirms everything you think

Part IV — Building trust without living in fear

An agreement about trust for the family
What if I already believed it?
What can we trust from here on?

What makes this book different

Depth to understand. Clarity to keep moving forward.

Focus on decisions and evidence, not guessing whether AI was involved

Everyday situations involving family, work, shopping, and social media

Accessible language without promises of infallible detection

A respectful approach to people who have already been deceived

Who this book is for

Knowledge that becomes action.

People who use messaging apps, social media, and AI tools in everyday life, with no technical background required will find a direct approach connected to concrete problems.

✓ People receiving messages and urgent requests in apps✓ Families seeking safe ways to confirm requests✓ People who consume news, images, and videos on social media✓ AI assistant users who want to assess answers more carefully

Before you begin

What you need to benefit from the book

✓No technical knowledge required

✓Only a desire to assess messages, social media, and digital tools more carefully

An informed choice

This may not be the right book if…

—Readers seeking a formula that eliminates every chance of deception

—Readers expecting one detector or visual clue to settle every doubt

Why this author, on this subject

Experience that gives the reading context.

A teacher and technology professional, Régys connects how AI works to the real decisions involved in receiving a message, sharing a story, or confirming a request.

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