
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.
Prices checked on 28/09/2026. Shipping is set by the store.
★ Review this bookThis book is currently available in Brazilian Portuguese.
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.
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.
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.”
Answers begin with the right questions.
Questions explored through context, criteria, and examples.
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?
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.
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
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.
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
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
Experiences from readers.
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Continue your journey with the complete book.
What to trust when texts, images, voices, and videos can be fabricated
Prices checked on 28/09/2026. Shipping is set by the store.
Print edition ISBN: 978-65-02-36759-9

