Ha-Joon Chang

Ha-Joon Chang

SOAS

Development economist who argues that public choices and institutions should shape AI’s uses and benefits.

AI将如何改变世界?

文明层面的变革渐进式变化DoomBloom
模拟位置解读范围

横向:他表达的 Doom–Bloom 前景看法。 纵向:变革程度。

Doom–Bloom:100 中的 38。变革程度:100 中的 49。解读范围:横向为 25 至 50,纵向为 15 至 100。这些是解读坐标,而不是事件概率。

Ha-Joon Chang的 P(doom) · 推断

≈5%

0%100%

根据他的模拟回答推断,并非他们给出的数字。 合理范围:3–10%。

他的展望取决于什么

一个核心假设

When railways or electricity transformed economies, the outcomes depended on investment in skills, organizations and public infrastructure—not simply on the invention itself.
回答 1

如果这个假设实际并非如此,他的展望会如何变化?

一个尚未解决的问题

Much of the current investment looks speculative, and I expect that bubble to burst, although I would not pretend to know when.
回答 1

什么能帮助他区分这里各种合理的结果?

什么可能使其改变看法

Evidence that democratic institutions could reliably restrain harmful uses, limit fabricated information and distribute productivity gains would strengthen my confidence.
回答 4

什么证据才足够,又会让他的观点朝哪个方向转变?

更多详情

预期益处

仍有几种解读是合理的:预计将带来显著益处,但受到重要条件或分配方面的限制。 / 预计收益有限,或仅分布在较小范围内。

51 / 100

影响小变革性影响

在定性尺度上,解读范围为 33 到 67。

预期危害

严重或广泛的危害预计将是未来不可忽视的一部分。

65 / 100

影响小变革性影响

在定性尺度上,解读范围为 67 到 67。

人类影响力

人类的选择可以大幅改变AI的发展轨迹。

79 / 100

影响力小影响力强

在定性尺度上,解读范围为 50 到 100。

AI使用规则

在事先落实保护措施或获得许可之前,限制所讨论的AI用途。

模拟位置:允许所讨论的AI用途,同时实施有针对性的问责与保护措施。

尽量减少对所讨论AI用途的限制。

这些解读保留了他陈述的条件。益处和危害都可能很大。这些范围描述的是我们如何解读他的模拟回答,而不是统计置信区间。

与Ha-Joon Chang相比,你的立场在哪里?
用大约3分钟描绘你自己的AI世界观,然后进行比较

相似的世界观

模拟世界观与 Ha-Joon Chang 最接近的意见领袖

Ha-Joon Chang关于AI说过的话

Chang treats AI as mental-labor automation and argues that public choices should govern its uses and benefits.

  1. “But it needs to be regulated for the benefit of the broader society.”

    The Front Row Podcast, interview with Keith Yap
  2. “A truly eye-opening book for those who want to fight for a more humane economy and a better society”

    The AI Con endorsement, publisher’s 2025 edition
  3. “So on the whole I’m not too worried about A.I. destroying jobs, because it will also create jobs.”

    Buenos Aires Herald, interview with Estefanía Pozzo and Amy Booth

逐字引自所链接的出处,核对于 2026年10月3日

模拟评估

问题 1

你认为AI对我们的未来意味着什么?为什么?

I see AI primarily as the automation of mental labor, part of a much longer history of technological change. Like earlier machinery, it will destroy some jobs, alter others and create new activities. That does not mean every displaced worker will benefit. When railways or electricity transformed economies, the outcomes depended on investment in skills, organizations and public infrastructure—not simply on the invention itself. I am skeptical of the grand story that an inevitable march toward AGI will overturn everything. Much of the current investment looks speculative, and I expect that bubble to burst, although I would not pretend to know when. The more immediate questions concern practical tools: who owns them, what work they automate, whose cultural assumptions they reproduce, and how their energy and material costs compare with any efficiency gains. AI should therefore be treated as public infrastructure and strictly regulated. This need not always mean public ownership; well-regulated private provision may work. But we cannot let an industry’s commercial roadmap decide society’s future. Systems that cheaply fabricate convincing information can damage the shared understanding on which democracy depends, while workplace automation can concentrate gains and impose losses on people with little bargaining power. The future is consequently not contained inside the technology. AI could remove routine tasks and leave more room for creativity, or it could deepen inequality and precarious work. Which outcome prevails will depend on institutions, productive capabilities and democratic choices about the purposes the technology should serve.

问题 2

你认为AI最终会在多大程度上改变世界?

Potentially a great deal, but I would resist pretending we can measure the ultimate change today. I do not know what future applications will emerge. Current text- and coding-based tools are useful forms of mental-labor automation, not proof that every grand claim about AGI will come true. History also warns against judging a technology in isolation. Electricity changed the world because societies built grids, factories, skills and institutions around it. The same AI system could produce very different outcomes depending on whether it supplements workers or replaces them, whether productivity gains are broadly shared, and whether fabricated information is allowed to corrode public debate. So AI may eventually reshape many activities, but technology alone does not determine the scale or character of that change. The decisive questions are what productive capabilities we build around it, whose interests govern its deployment, and what democratic limits we impose.

问题 3

凭直觉,你认为AI导致人类灭绝或类似的永久性灾难的概率有多大?

I do not have a meaningful percentage to offer. Assigning a precise extinction probability would suggest knowledge I do not possess. My immediate concern is more concrete: AI can already automate mental labor, concentrate economic power and manufacture plausible falsehoods at scale. Those harms need not cause human extinction to become permanent or profoundly damaging—for example, if they destroy shared trust, weaken democratic institutions or lock societies into highly unequal arrangements. So I would not let speculative extinction scenarios dominate the discussion. Nor would I infer safety from my skepticism about AGI salesmanship. An ordinary technology, deployed through bad institutions and governed by narrow commercial interests, can still cause extraordinary harm. The sensible response is strict public regulation and democratic control over how these systems are used.

问题 4

哪些证据会改变你对人们能否控制强大AI的看法?

I do not regard “people can control powerful AI” as a purely technical proposition. The relevant evidence would be institutional: whether governments can impose rules despite concentrated corporate power, whether systems can be independently audited, whether workers and citizens have a meaningful voice in deployment, and whether sanctions actually change company behavior. Historical cases offer mixed lessons. Railways, electricity and other public utilities were eventually governed through regulation, public investment and sometimes public ownership, but only after political struggle; control did not emerge automatically from the technology. Evidence that democratic institutions could reliably restrain harmful uses, limit fabricated information and distribute productivity gains would strengthen my confidence. Conversely, repeated regulatory failure—companies evading oversight, governments becoming dependent on them, or public debate being systematically corrupted—would weaken it. But I would not treat an industry demonstration that a model follows instructions under laboratory conditions as sufficient evidence of social control. The question is not only whether engineers can direct a system, but whether society can direct the institutions that own and deploy it.

来源

用于为此模拟用户提供事实依据的文章、访谈和著述。

Ha-Joon Chang On Why We Need To Rethink Our Current Economic Order

Named transcript inspected. Calls investment a demand-ahead bubble without a burst date; favors practical mental-labor automation over speculative AGI stories. AI is public infrastructure needing strict regulation; ownership is optional. Fabricated references illustrate how misinformation could undermine society. Do not drop that substantial-harm warning when preserving his bounded-tool view.

ykeith.com
The AI Con — Ha-Joon Chang’s publisher-hosted endorsement

Complete attributed endorsement inspected on the publisher’s 2025 ebook page. Praises Bender and Hanna’s critique as useful for a humane economy and society; rejects treating the purported AI transformation as something people must passively accept. This is a short corroborating anchor, not a substantive interview, technical argument, or blanket adoption of the book’s claims. Date is the edition’s publication date; the endorsement’s recording date is not supplied.

penguin.co.uk
Ha-Joon Chang: “Unless you devalue, you cannot increase your exports”

Older direct interview inspected, especially the final AI answer. Places AI in capitalism’s continuing history of automation: jobs disappear and new jobs arise. Criticizes professional-class concern arriving when their own work is exposed. Calls for regulation of prejudices embedded by a narrow developer demographic. Does not guarantee painless transitions or specify future capabilities.

buenosairesherald.com
Economics of limes, politics of chocolate and AI in strawberry picking

Older Polish-language interview inspected; English summaries are paraphrases, not quotations. Routine automation can free creative effort, while narrow cultural perspectives create ethical problems. Text, code and music-video tools do not themselves overturn the world. Energy per unit of output and smart-grid savings matter; assess materials, energy and the entire value chain. Asked to extrapolate future applications, he says he does not know. The displayed 2025 update does not make this a new interview.

krytykapolityczna.pl
Economics, pluralism and democracy: An interview with Ha-Joon Chang

Author-hosted full interview inspected selectively: PDF pages 1–3, 20–22 and 31–33. Methodology and democratic-governance context, not an AI forecast. He supports empirical work while questioning which theories decide what is measured: GDP omits unpaid care. Narrow studies need broader historical and institutional analysis. Experts contribute technical knowledge, but citizens should determine political goals. Publication date confirmed in SOAS repository.

hajoonchang.net
Nurture, Then Prosper

Edited IMF-hosted interview inspected. Recent institutional-policy context, not an AI forecast. Managed trade and disciplined infant-industry support build productive capabilities; protection can be misused. Innovation depends on public research and collective inputs. Growth must also be politically, socially and environmentally sustainable, and economic literacy enables meaningful democratic participation. This supports his policy lens without assigning AI-specific prescriptions he did not state.

imf.org
你的立场在哪里?
回答几个简单问题,探索你自己的AI世界观。
描绘你自己的世界观

你的立场在哪里?

描绘我的世界观