AI Knowledge Series / beginner

Know Your AI Risks

From security incidents to hallucinations, learn what can go wrong with AI tools—and how to protect yourself before something does.

6 chaptersEPUB + PDF + HTMLbeginner guide pricingDRM-free files
Know Your AI Risks book cover
The problem

It starts with the situation you're actually in.

AI risk, in plain terms, is the gap between what you ask an AI tool to do and what it actually does. You'll see the main families of risk every user meets: bad outputs, leaked information, manipulation, and misplaced trust.

A tax document open, a half-finished email to a contractor, a chatbot in a third tab—and the AI just handed you a clean answer about a deduction. Wrong outputs, leaked data, deliberate attacks, and the slow drift of bias and overreliance aren't separate lenses anymore; they all converge on this one moment.

Who it is for

For everyday AI users who want to spot what can go wrong with these tools and protect themselves before it does.

Outcomes

What you'll be able to do.

The Vocabulary You Need

You see what a confident wrong answer actually costs, through the two New York lawyers who learned it the hard way in the 2023 Mata case—and you gain the words to name each risk before it bites.

The Trip Your Prompt Actually Takes

You follow the trip your prompt actually takes. Every time you paste text into a chatbot, you're sending it somewhere—it doesn't just appear, get answered, and vanish.

The Failure You Won't Notice

You learn to catch the failure that doesn't announce itself. A fabricated citation, a leaked file, a phishing email each give you a moment to point to; this one slips by unnoticed.

When AI Gets Attacked or Tricked

You see how the tool you trust most can become someone else's weapon, with no visible hand on it. Earlier failures were innocent—a model guessing wrong, or you handing over data you shouldn't have—while this one is aimed at you.

Inside the book

A closer look at the work inside.

Diagnosing Any AI Worry

An under-a-minute routine for any AI tool that makes you uneasy. Name the gap between what you asked and what it did, then run the two-question test: did the model get it wrong on its own, or did someone make it go wrong?

Before You Trust the Answer checklist

  • Bad output: The assistant slips in a clinical detail that was never in the source notes—an allergy the patient never reported, or a dosage line nobody wrote—stated in the same.
  • Leaked information: You paste real patient details into a public chatbot to get the draft. That text may now be stored or reused, which can breach confidentiality laws before.
  • Manipulation: The "AI health assistant" you downloaded is a counterfeit app designed to collect the medical data you feed it.
  • Misplaced trust: The draft looks polished, so you skip the human review step your workflow requires—and the fabricated detail goes out unchecked.

One Tool, Four Different Risks

One ordinary task—using an AI assistant to draft a patient-facing health summary for work—shows how the risk families stack up in real life, starting with bad output: a clinical detail that was never in the source notes.

The AI Risk Map: Cause Meets Stakes

The two-question test gives you the cause; adding one dimension—how much the failure can hurt—converts it into a decision you make on the spot. Find your cause along the top and your stakes down the side, and the cell where they meet names your move.

Reference: The Words You Need checklist

  • Hallucination — when an AI tool produces information that sounds correct but is false, fabricated, or unsupported.
  • Confabulation — a more precise word some researchers prefer. It means confidently stating made-up details as if they were memories or facts.
  • Fluency — how smooth, grammatical, and natural the writing sounds. High fluency is what makes a hallucination convincing.
  • Grounding — connecting an answer to a real, checkable source: a document, database, link, official record, or other evidence. Ungrounded answers are guesses dressed as facts.
Know Your AI Risks visual framework
The AI Risk Map: Cause Meets StakesInside the book
Visual preview

A diagram you can keep open while you work.

Table of contents

6 chapters, built to be read in order.

01

What "AI Risk" Actually Means

02

When AI Makes Things Up: Hallucinations and False Confidence

03

Where Your Data Goes: Privacy and Leak Risks

04

When AI Gets Attacked or Tricked: Security Threats for Everyday Users

05

Bias, Overreliance, and Bad Decisions

06

Your Personal AI Safety Plan

146
Pages
10,737
Words
38
Exercises, checklists & tools
6
Chapters
Formats

Three formats. One purchase.

EPUB, PDF, and HTML are included so the book can work on an e-reader, as a designed copy, or as a searchable desk reference.

EPUB

For e-readers and reading apps.

PDF

The designed edition with diagrams and layouts intact.

HTML

Searchable, copy-pasteable, and practical as a reference.

Complete guide

Know Your AI Risks

$4.99
beginner guide pricing
  • EPUB + PDF + HTML included in one purchase
  • 6 chapters from the complete guide
  • DRM-free files for your own devices
  • 7-day refund review for duplicate purchases, access issues, wrong files, or materially defective downloads
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Before you buy

Questions, answered.

Does this include the full book?

Yes. You get the complete edition, including the chapter sequence and internal materials described on this page.

Which formats are included?

EPUB, PDF, and HTML are included so you can read on an e-reader, keep a designed copy, or use the searchable browser version.

What is the refund policy?

Because this is an instant digital download, broad change-of-mind refunds are not offered after the files have been accessed. Refund requests are reviewed within 7 days for duplicate purchases, accidental purchases before access, access failures we cannot fix, wrong files, corrupted files, or pages that materially misdescribe the book.