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This talk examines prevailing myths and misconceptions about artificial intelligence (AI) and their implications for society. By addressing claims such as AI’s purported autonomy, infallibility, and capacity to displace human roles, the discussion demystifies the capabilities and limitations of AI systems. These technologies, while powerful in specific applications, are grounded in data-driven pattern recognition, lacking true creativity, ethical agency, or deductive reasoning. Through real-world examples, such as AI in autonomous vehicles, creative industries, and automated manufacturing, the presentation illustrates how AI complements human roles rather than fully replacing them. Furthermore, it critically evaluates the societal risks posed by biased datasets, outdated or limited data inputs, and the phenomenon of ‚AI hallucination,‘ where systems generate inaccurate outputs. Additionally, the presentation explores the role of AI in augmenting human efforts rather than causing stagnation. It highlights how AI systems can handle repetitive and data 19-driven tasks, freeing humans to focus on strategic, creative, and interpersonal roles. Contrary to fears of obsolescence, AI often supplements rather than supplants human contributions, although its high costs and contextual limitations ensure it cannot replace human effort universally. The discussion concludes with a reflection on the broader societal and ethical implications of AI, emphasizing that its effectiveness and impact depend on the intentions and oversight of those who deploy it. As with any tool, AI serves as a ‚good servant but a bad master,‘ underscoring the need for critical understanding and responsible utilization in shaping its role in our lives.