In this accessible yet thorough guide, AI researcher Melanie Mitchell demystifies artificial intelligence for general readers. She walks through how modern AI systems are built, including neural networks and deep learning, and clarifies common myths and media exaggerations. More importantly, she reveals the challenges AI still faces—such as contextual understanding, bias, and explainability.
Mitchell argues that true artificial general intelligence (AGI) remains far off, and current AI systems can fail in unpredictable ways. Her analysis helps temper both hype and fear, urging stakeholders to think critically before automating sensitive processes like policing, hiring, or credit scoring.
The book promotes responsible AI development and regulation, suggesting ethical frameworks and accountability mechanisms. It is especially relevant to India’s growing interest in AI policy and its need for public trust in machine-led decisions. “A Guide for Thinking Humans” bridges the gap between science and society.
