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FAIK Review: A Practical Guide to Deepfakes and Disinformation

Perry Carpenter’s FAIK explores deepfakes and digital deception through accessible scenarios and practical awareness strategies, with technology’s detection limits in view.
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FAIK: A Practical Guide to Living in a World of Deepfakes, Disinformation, and AI-Generated Deceptions is Perry Carpenter’s guide to recognizing how digital deception works—and why people can be vulnerable to it. In a November 11, 2024 review, Ian Barker of BetaNews praises its accessible, scenario-led approach and practical focus, while cautioning that technology alone cannot reliably solve the problem. The review is an assessment of the book’s approach, not evidence that its advice guarantees readers can detect every fake.

What is FAIK about?

Carpenter’s book considers deception as both a technical and a human problem. Barker’s review says it covers generative AI, deepfakes, data bias, and the ways people can be manipulated. The book’s official description similarly presents it as an accessible overview of synthetic media, the weaponization of AI-generated content, case studies, and ways to protect oneself and loved ones from scams. That description is the publisher’s framing, rather than independent evidence of the advice’s effectiveness.

Barker identifies Carpenter as a risk management specialist at KnowBe4 and describes the book as readable rather than a dry technical manual. He says chapters begin with brief fictional scenarios before explaining techniques associated with real-world problems. This format is intended to make the subject approachable; the review does not provide a chapter-by-chapter critique or an independent assessment of the book’s factual accuracy.

How does the book approach spotting scams and fakes?

According to Barker, later chapters shift toward practical strategies, including fact-checking and developing cognitive defenses. The emphasis is not simply on finding a tool that labels an image, video, or message as false. The review notes that technological detection has limits, making attention to context and human judgment part of the book’s approach.

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That balance is the clearest strength in Barker’s account: readers get an accessible introduction to technical tactics alongside discussion of why people fall for manipulation. The review does not establish that the book teaches a foolproof detection method, and it should not be read as a guarantee that readers can identify every scam or deepfake.

Why does the human factor matter?

Deceptive content can exploit trust, assumptions, and emotional reactions as well as technical vulnerabilities. Barker’s central framing is that online deception is not just a contest between real media and fake media; it also involves how people interpret and share what they see. Carpenter’s official site likewise foregrounds why people fall for digital manipulation. Together, those themes make the book relevant to readers interested in the social side of disinformation as well as the capabilities of generative AI.

As context, Carpenter’s prepared remarks to the SEC Investor Advisory Committee on March 6, 2025 cite a Deloitte May 2024 finding that 25.9% of executives reported their organizations had experienced one or more deepfake incidents. This is a figure Carpenter attributes to Deloitte’s research, not an independently verified finding here, and it describes executive reports about organizations—not the prevalence of deepfakes among the public.

Who is the book for?

  • Readers new to the subject: Barker’s description of short opening scenarios and accessible explanations suggests an entry point that does not assume a technical background.
  • People interested in practical awareness: The review highlights fact-checking, scam and fake recognition, and cognitive defenses rather than a narrowly technical treatment.
  • Readers seeking technical depth or a formal evaluation: The available review does not establish a comprehensive technical manual, a chapter-by-chapter fact check, or a comparison with competing books. Those looking for a rigorous assessment of detection methods should not treat this review as one.

Publication details and formats

Barker’s BetaNews review identifies Wiley as the publisher and says the book is available in print and ebook formats. Carnegie Mellon University Libraries lists FAIK as a 2025 title. The review’s publication date and the library catalog’s year are separate bibliographic details; they should not be collapsed into a single publication date. The sources do not establish differences in content between formats, and availability may change.

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The official book site also links to a ten-part companion podcast miniseries for readers who want a related listening resource. It is presented as companion material, not as a substitute for the book or an independent endorsement of its claims.

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Review verdict

Barker’s review makes FAIK sound like a useful, approachable orientation to AI-enabled deception, especially for readers who want human behavior and practical awareness considered alongside deepfakes and generative AI. Its strongest caveat is also important: detection technology has limits, and the review does not show that the book’s strategies guarantee scam detection. It is best approached as an accessible guide to thinking more carefully about digital claims, not as a technical certification or a promise of certainty.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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