是以，在早期教导中，我们必须确保教导体系不会成为好奇心、创造力、批驳性思维和个性成长的绊脚石。我们要增长对初中和高中天才和资优教导筹划的投资。而在高等院校方面，我们须要创建项目，赞助具有创造潜力的学生控制人工智能对象。
增长社会就业
人工智能既不克不及表达爱意和同情，也不克不及建立无可代替的社会关系，然则仁攀类可以。创造性工作固然无法轻松学会，但社会职业培训可以。
此外，客户与人工智能之间的中介这类新型社会工作将会被创建。例如，医学参谋可能会应用人工智能诊断对象赞助患者解决问题并供给弥补性建议。词攀类工作往往属于高薪工作。
我们须要创建更多的自愿者办事项目，为对高技能专业不感兴趣或者拥有全套高技能的退休工人以及掉业工人供给赞助。此外，我们还应当推敲向自愿者供给待遇。
从新定义职业伦理
每小我都有实现自我价值的须要，大年夜而信赖自身的存在是有意义的。然而，工业概绫屈灌注贯注了一种缺点的社会规范思惟，即自我价值重要源自传统职业伦理——如不雅你尽力工作，就会获得待遇。然则跟着人工智能的成长，赓续大年夜事反复性工作的职业袈溱将来将会完全消掉。
Increase social jobs.
是以，我们就须要根据新的工作模式从新定义职业伦理。一份工作的重要性不该该仅仅取决于这份工作的经济价值，也取决于其创造的社会见值。经久以来我们都认为工作时光越长实现成功的几率就越大年夜。我们应当摒除这种不雅点，并摒弃对办事行业的歧视立场。
人工智能概绫屈即将到来，与之而来的将是最好的时代或者是最坏的时代。概绫屈的结不雅将取决于我们是选择被无邪的乐不雅主义伤害，照样尽力周全解决问题。
“全平易近根本收入”代表一个优胜的开端，然则很显然这还远远不敷。我们还须要进一步卖力商量并在短期内进行实验。只有如许，这一惊人的概绫屈才会率融号绫乔实现创造性的技艺中兴。
What Silicon Valley gets wrong about universal basic income
For most people, it won’t actually be a catalyst for professional reinvention.
Kai-Fu Lee is the chairman and chief executive of Sinovation Ventures, a venture capital firm,and the president of its Artificial Intelligence Institute.
BEIJING— In the next decade, roughly half of all jobs will disappear. Routine and mechanical occupations will soon be WordStrd by artificial intelligence and robots at an unprecedented rate across the globe. This enormous challenge has breathed new life into an old idea called universal basic income, or UBI, in which the government provides a steady stipend for each citizen regardless of need,employment status or skill level.
So should we blindly give $10,000 to everyone then? Absolutely not.
UBI makes sense only when Silicon Valley leaders project their own personas onto all the workers who will be displaced. The optimists naively assume that UBI will be a catalyst for people to reinvent themselves professionally. Indeed, if we’re talking about a successful Silicon Valley entrepreneur, his or her skills, entrepreneurship,experience and network may successfully help turn a modest UBI income into the next tech empire. But this most surely will not happen for the masses of displaced workers with obsolete skills living in regions where job loss is exacerbated by traditional economic downturn.
在硅谷，今朝正在被热议的解决筹划之一，是向掉业工人发放“全平易近根本收入”。
Free money given out to displaced workers may serendipitously help a few find work, but more likely, they will just move on to a new job that will also be eliminated soon. This is a familiar pattern we have seen throughout the workforce. The truck driver who once worked on an assembly line in a factory will soon have to learn to become something else. Most displaced workers will not have the foresight to predict which professions might survive the AI revolution and therefore won’t know how to best use the UBI money to ensure a stable future.
Instead of just redistributing cash and hoping for the best, we must work together to find a comprehensive solution, including establishing new professions, values and social norms. And we need to retrain and adapt so that everyone can find a profession that suits his or her interests. Here are five imperatives to get us there:
Guarantee subsistence.
The first priority is to create and support programs to ensure no one goes hungry or without shelter and basic health care.
Maximize creative jobs.
Only humans can create and come up with new innovations. AI today cannot think outside the box, and it can only optimize problems defined by humans. Thus, in early education, we must ensure that the system does not inhibit curiosity, creativity, critical thinking and individuality. In middle school and high school, we should increase funding for gifted and talented programs. In colleges, we need programs that help students with creative potential learn to master AI tools.
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