AI, Explained for Humans: A Clear Beginner's Guide to Artificial Intelligence, Machine Learning, Generative AI, Deepfakes, Automation, Ethics, and the Future of Work

Everly, Liam

ISBN 13: 9798189192852

Published by Independently published, 2026

About this Item

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Seller Inventory # I-9798189192852

Bibliographic Details

• Title: AI, Explained for Humans: A Clear Beginner's Guide to Artificial Intelligence, Machine Learning, Generative AI, Deepfakes, Automation, Ethics, and the Future of Work
• Publisher: Independently published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798189192852
• Binding: Soft cover
• Condition: New

About this title

Synopsis

AI is already shaping what you see, buy, believe, and do. Understanding it should not require a computer-science degree.

Artificial intelligence now writes, recommends, predicts, translates, ranks, and imitates. Yet most explanations fall into one of two traps: breathless hype or vague fear. AI, Explained for Humans offers a clearer path.

In plain English, Liam Everly reveals what modern AI is actually doing beneath the polished interface. You will discover how machines learn from examples, how neural networks build representations, why large language models can sound brilliant while inventing facts, and how generative systems create text, images, voices, and video.

Inside, you will learn how to:

• Distinguish artificial intelligence, machine learning, deep learning, and generative AI




• Understand tokens, embeddings, attention, transformers, training, feedback, retrieval, and AI agents




• Recognize hallucinations, hidden bias, black-box decisions, prompt injection, and misleading benchmarks




• Protect yourself from deepfakes, voice-cloning scams, synthetic evidence, and information pollution




• Evaluate AI at work without confusing a fast demo with a reliable process




• Use practical guardrails for privacy, human review, verification, procurement, and risk




• Think clearly about consciousness, AGI, superintelligence, and the future of work

The book also includes a thirty-day AI literacy plan, a risk scorecard, vendor questions, four realistic case studies, ten myths worth retiring, a detailed glossary, and a source guide for deeper learning.

Whether you are a professional, manager, educator, parent, student, creator, or simply a curious citizen, this book will help you use AI with more confidence—without surrendering your judgment.

The goal is not to make you impressed by machines or frightened of them. It is to make you difficult to mislead.