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Forecaster

A Forecaster book proposal
By Kevin L. Michel
Digital PDF edition

AI & tomorrow · A BOOK PROPOSAL

Can You Trust That Voice?

Family, fraud, and proof in the age of synthetic people

This proposed book would investigate how synthetic voices and convincing impersonations change the way families, colleagues, and institutions establish trust. It would explain why urgency and emotional pressure matter as much as technical realism, then develop clear verification habits for common situations. Readers would encounter practical scenarios involving emergency calls, payment requests, and shared media, with attention to the limits of detection tools and the value of confirming a story through an independent channel.

$25USD · Digital PDF

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A little extra for the first reader

The first person to commission this title receives a few personal touches, included in the $25 price.

  • A place in the acknowledgements. Choose a name for “First commissioned by…” in this book and any future editions Kevin publishes, or stay anonymous.
  • A personal dedication. Have your private PDF dedicated to you or someone you love.
  • A question to explore. Suggest one question within the proposal’s scope. Kevin makes the final editorial decisions.
  • Two digital gift copies. Keep your copy and privately send the finished PDF to two people.

For the first paid commission of this title. Personal touches are optional; you can add your preferences at checkout. Details

Inside the proposed edition

  1. The familiar voice on an unfamiliar call
  2. Urgency, secrecy, and borrowed authority
  3. Why spotting a fake is an unreliable plan
  4. Verification through a second channel
  5. Family agreements before an emergency
  6. Rebuilding trust without suspecting everyone
The idea behind the book +

The FTC's consumer guidance describes scammers using AI to clone relatives' voices and recommends verifying urgent requests through known contact details. It provides a concrete starting point for examining trust when familiar audio is no longer sufficient proof.