The Dark Side of AI: Myths, Risks, and Realities
AI carries real risks—data exposure, bias, security exploits, and decision errors—but treating it as “magic” or “monolithic” obscures practical solutions; the path forward pairs human oversight, continuous testing, and risk-based governance with safe, measurable deployment. Top AI myths debunked Myth 1: AI will replace all jobsReality: AI automates tasks within roles but creates new work … Read more