Artificially
Unintelligent
Goof-Ups, Glitches, and Mistakes AI Platforms Make — And How Creators, Leaders, and Learners Can Avoid the Traps
"The future belongs not to those who blindly trust artificial intelligence, but to those who understand both its strengths and its weaknesses."
About the Book
Beyond the Hype — The Real Story of AI's Limitations
Artificial Intelligence is transforming the world at breathtaking speed. It writes, analyzes, creates, predicts, and automates. Yet behind the impressive demonstrations and marketing promises lies a less-discussed reality: AI makes mistakes — sometimes small, sometimes expensive, and sometimes dangerous.
Artificially Unintelligent takes readers beyond the hype to reveal the hidden limitations, blind spots, biases, hallucinations, and decision-making failures that today's AI platforms can produce.
Rather than promoting fear or skepticism, this book provides a balanced and realistic approach to AI adoption — showing you how to use AI as a powerful assistant without becoming dependent on it or misled by it.
What Makes This Different
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Real Case Studies AI successes and failures drawn from real-world situations, not hypotheticals.
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Practical Frameworks Step-by-step methods to verify AI outputs and avoid costly errors.
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Balanced Perspective Celebrates AI's power while honestly addressing its most common traps.
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For Every AI User Whether you're a leader, creator, educator, or student — it's written for you.
Inside This Book
Discover What No One Else Is Telling You About AI
AI Hallucinations Exposed
Why AI often sounds intelligent even when it is completely wrong, and how hallucinations create believable but inaccurate information.
The Overtrust Trap
The hidden dangers of overtrusting AI-generated content and how false confidence can lead to costly personal and business failures.
Prompt Power
Why poor prompts lead to poor outcomes — and the practical techniques to engineer prompts that consistently deliver reliable results.
Bias in AI Systems
How bias enters AI systems, influences results, and what you can do to identify and counteract it in your workflows.
The Common-Sense Gap
The common-sense problem most AI platforms still cannot solve — and how to fill that gap with human judgment.
Productivity Myths
The productivity myths organizations rarely discuss — including hidden costs, quality trade-offs, and over-automation pitfalls.
Deepfakes & Deception
The growing risks of deepfakes and digital deception — how to spot them, protect yourself, and educate others.
Verification Frameworks
Practical, proven strategies to verify AI outputs and combine human intelligence with machine intelligence effectively.
Responsible AI Use
How students, educators, and professionals can use AI responsibly — building skills that AI can never fully replace.
"AI generates convincing misinformation, amplifies human biases, creates false confidence, and fails in ways that even experts struggle to predict."
— Artificially UnintelligentKey Takeaways
What You Will Walk Away With
- Why AI often sounds intelligent even when it is completely wrong
- How AI hallucinations create believable but inaccurate information
- The hidden dangers of overtrusting AI-generated content
- Why poor prompts lead to poor outcomes — and how to fix them
- How bias enters AI systems and influences results
- The common-sense problem most AI platforms still cannot solve
- The productivity myths organizations rarely discuss
- How AI mistakes can create costly business failures
- The growing risks of deepfakes and digital deception
- How students, educators, and professionals can use AI responsibly
- Practical frameworks for verifying AI outputs
- Real-world case studies of AI successes and failures
- Proven strategies to combine human judgment with machine intelligence
Perfect For
This Book Is Written For You If You Are a…
The Author
About Nandini A. Iyengar
Get Your Copy
Ready to Become a Smarter, Safer AI User?
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Available in Kindle · Paperback · Hardcover · Audiobook
Published by Sampoornam Publishers · Divine Grace Wins