AI Pitfalls: Using AI without losing ourselves

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AI Pitfalls: Using AI without losing ourselves

Written by: Roy Moses

Narrated by: Rebekah Morley

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Artificial intelligence can make us faster, smarter, and more productive. But what happens when we trust it too much?AI has moved from novelty to everyday necessity with extraordinary speed. It writes, summarizes, advises, creates, predicts, and increasingly makes decisions that affect our personal lives and businesses. But behind the convenience lies a growing collection of risks that are easy to overlook—and sometimes expensive to discover.AI Pitfalls takes a clear-eyed look at what can go wrong when individuals and organizations adopt artificial intelligence without sufficient caution.For everyday users, this book explores:Why AI can sound completely confident while being completely wrongHow overreliance on AI can weaken critical thinking and essential skillsThe privacy risks of putting sensitive information into AI toolsDeepfakes, voice cloning, misinformation, and digital deceptionEmotional dependency on AI companionsThe erosion of learning and independent thinkingThe dangers of relying on AI for financial or health guidanceAddiction, job displacement, and the loss of individual voiceFor businesses, it examines a different—and potentially much more costly—set of problems:AI hallucinations and corporate liabilityConfidential data leakage and “shadow AI”Algorithmic bias and discriminationCustomer-facing AI failuresCopyright and intellectual-property disputesWorkforce deskilling and overrelianceAI-enabled cybercrimeHidden costs and unrealistic ROI expectationsRegulatory uncertainty and complianceVendor dependency and platform riskReputational damageAutomated hiring and employment decisionsLow-quality AI content and brand erosionThe goal is not to frighten readers away from artificial intelligence. It is to help them use powerful technology without surrendering their judgment to it.The book’s central message is simple: AI is a prediction engine, not a truth engine. Its outputs should be treated as useful starting points—not unquestionable final answers.©2026 Roy Kibe (P)2026 Roy Kibe

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