Sternberg Robert J
Department of Psychology, Cornell University, Ithaca, NY 14853, USA.
J Intell. 2024 Jul 19;12(7):69. doi: 10.3390/jintelligence12070069.
Technology alters both perceptions of human intelligence and creativity and the actual processes of intelligence and creativity. Skills that were once important for human intelligence, for example, computational ones, no longer hold anywhere near the same importance they did before the age of computers. The advantage of computers is that they may lead us to focus on what we believe to be more important things than what they have replaced. In the case of penmanship, spelling, or arithmetic computation, such an argument could bear fruit. But in the case of human creativity, the loss of creative skills and attitudes may be a long-term loss to humanity. Generative AI is replicative. It can recombine and re-sort ideas, but it is not clear that it will generate the kinds of paradigm-breaking ideas the world needs right now to solve the serious problems that confront it, such as global climate change, pollution, violence, increasing income disparities, and creeping autocracy.
技术改变了人们对人类智力和创造力的认知，也改变了智力和创造力的实际过程。例如，曾经对人类智力很重要的技能，如计算技能，在计算机时代之后已远不如从前重要。计算机的优势在于，它们可能会引导我们关注那些我们认为比它们所取代的东西更重要的事情。就书法、拼写或算术计算而言，这样的观点可能会有成效。但就人类创造力而言，创造性技能和态度的丧失可能会给人类带来长期损失。生成式人工智能是复制性的。它可以重新组合和重新排列想法，但不清楚它是否会产生当今世界解决所面临的严重问题（如全球气候变化、污染、暴力、收入差距扩大和专制蔓延）所需的那种突破性范式的想法。
