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技术的中立性与个体选择
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文章探讨了技术本身的中立性,强调其影响是好是坏取决于使用者。作者指出,无论是社会、机构、家庭还是个人,都负有责任去选择如何健康地使用技术。文中以收入与幸福感的研究为例,说明个体选择的差异性会带来不同的结果,并呼吁人们采取积极主动的态度来应对技术带来的挑战,将技术视为一种新的选择和可能性的景观,需要我们去导航和适应,而非被动接受。

💡 技术本身是中立的,其影响好坏取决于使用者。文章强调,无论是食物、媒体还是人工智能,都可以被健康或不健康地使用。技术本身没有自主性来选择其用途,这项选择权在于我们,这意味着责任也贯穿于社会、机构、家庭乃至每个个体。

⚖️ 责任的承担需要多层面共同努力,包括企业设计更健康的产品,以及法律法规的辅助。然而,作者也指出法律法规是“钝器”,无法强制性的保证健康的生活方式或学习习惯。最终,个体和家庭在选择上扮演着关键角色,个体选择的质量直接影响最终结果。

🎢 面对技术变化,应采取动态且积极主动的视角。文章认为,新技术常常要求行为和制度的调整,这好比“成长的烦恼”,而非“入侵”。将技术视为一个需要积极导航的全新选择和可能性景观,而不是被动接受的外部力量,有助于更具建设性的讨论和适应。

🤔 关注技术影响的个体差异性至关重要。文章以收入与幸福感研究为例,指出不同个体在面对相似条件时可能产生截然不同的结果。同样,在社交媒体的使用上,有人能主动管理使用习惯,有人则可能被算法牵引,加剧焦虑。因此,研究个体差异性有助于提供更具体的指导。

Published on November 6, 2025 5:33 PM GMT

Many technologies can be used in both healthy and unhealthy ways. You can indulge in food to the point of obesity, or even make it the subject of anxiety. Media can keep us informed, but it can also steal our focus and drain our energy, especially social media. AI can help students learn, or it can help them avoid learning. Technology itself has no agency to choose between these paths; we do.

This responsibility exists at all levels: from society as a whole, to institutions, to families, down to each individual. Companies should strive to design healthier products—snack foods that aren’t calorie-dense, smartphones with screen time controls built in to the operating system. There is a role for law and regulation as well, but that is a blunt instrument: there is no way to force people to eat a healthy diet, or to ensure that students don’t cheat on their homework, without instituting a draconian regime that prevents many legitimate uses as well. Ultimately part of the responsibility will always rest with individuals and families. The reality, although it makes some people uncomfortable, is that individual choices matter, and some choices are better than others.

I am reminded of a study on whether higher incomes make people happier. You might have heard that more money does not make people happier past an annual income of about $75k. Later research found that that was only true for the unhappiest people: among moderately happy people, the log-linear relationship of income to happiness continued well past $75k, and in the happiest people, it actually accelerated. So there was a divergence in happiness at higher income levels, a sort of inverse Anna Karenina pattern: poor people are all alike in unhappiness, but wealthy people are each happy or unhappy in their own way. This matches my intuitions: if you are deeply unhappy, you likely have a problem that money can’t solve, such as low self-esteem or bad relationships; if you are very happy, then you probably also know how to spend your money wisely and well on things you will truly enjoy. It would be interesting to test those intuitions with further research and to determine what exactly people are doing differently that causes the happiness divergence.

Similarly, instead of simply asking whether social media makes us anxious or depressed, we should also ask how much divergence there is in these outcomes, and what makes for the difference. Some people, I assume, turn off notifications, limit their screen time, put away their phones at dinner, mute annoying people and topics, and seek out voices and channels that teach them something or bring them cheer. Others, I imagine, passively submit to the algorithm, or worse, let media feed their addictions and anxieties. A comparative study could explore the differences and give guidance to media consumers.

In short, we should take an active or agentic perspective on the effects of technology and our relationship to it, rather than a passive or fatalistic one. Instead of viewing technology as an external force that acts on us, we should view it as opening up a new landscape of choices and possibilities, which we must navigate. Nir Eyal’s book Indistractable is an example, as is Brink Lindsey’s call for a media temperance movement.

We should also take a dynamic rather than static perspective on the question. New technology often demands adjustments in behavior and institutions: it changes our environment, and we must adapt. For thousands of years manual labor was routine, and the greatest risk of food was famine—so no one had to be counseled to diet or exercise, and mothers would always encourage their children to eat up. Times have changed.

These changes create problems, as we discover that old habits and patterns no longer serve us well. But they are better thought of as growing pains to be gotten through, rather than as an invasion to be repelled.

When we shift from a static, passive framing to a dynamic, agentic one, we can have a more productive conversation. Instead of debating whether any given technology is inherently good or bad—the answer is almost always neither—we can instead discuss how best to adapt to new environments and navigate new landscapes. And we can recognize the responsibility we all have, at every level, to do so.



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技术中立性 个体选择 技术伦理 媒体素养 主动适应 Technology Neutrality Individual Choice Tech Ethics Media Literacy Proactive Adaptation
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