The Department of Computer Science and Engineering
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摘要
This perspective paper explores the trajectory of Artificial Intelligence (AI) toward the year 2062, the median date experts predict machines will match human cognitive capabilities. Drawing upon Neil Postman’s framework for technological change, the author analyzes the potential impacts of AI. The discussion posits that AI operates as an ecological rather than merely additive force, fundamentally altering the human environment, much as the advent of electricity did. The analysis applies five core lessons to the AI context: the inherent trade-offs of technology, illustrated by how navigation aids may erode spatial memory; the unequal distribution of benefits and costs, evidenced by biases in predictive policing; the epistemological shift suggesting that "thinking is computational"; the unpredictability of systemic change; and the rejection of technological inevitability. The paper concludes that while AI promises immense economic utility—projected to contribute $15 trillion to the global economy by 2030—navigating its rise requires critical human agency to maximize positive outcomes while mitigating ethical risks and cognitive atrophy.