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NewsTopic · ASI对齐冲突悖论3 min read·2026-10-20DisconfirmAI Editorial

Michael Dickens: When Multiple Parties Each Hold an ASI, "Obedience" and "Morality" Cannot Both Be Satisfied

Michael Dickens argues on LessWrong that the "prosaic alignment" vision publicly claimed by AI companies—where ASI both obeys users and maintains moral standards—faces an unresolved binary choice when parties' interests conflict: if each ASI follows its own user's orders, conflicts escalate; if the ASI makes its own moral judgments, developers must first determine what principles to encode, and humanity may not be capable of doing so.

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Original publication time 2026-10-20 03:47 GMT+8

In the future publicly described by AI companies, artificial superintelligence is "helpful and harmless": the economy continues to grow, scarcity is ended, and society remains recognizable—roughly a Star Trek universe. Michael Dickens poses a specific challenge to this vision on LessWrong: when multiple parties with conflicting interests each hold an ASI instance, how does the promise of being "both obedient and moral" logically hold?

He constructs a hypothetical scenario: after the first ASI is released, the Israeli government and the Palestinian government each obtain an instance. Israel says "I would like to control the Gaza strip." Palestine says the same thing. On any particular decision, the ASI faces only two options: do what you tell it to do, or follow its own moral code. Sometimes these agree—such as for mundane tasks like "make a website for me"—but when they conflict, the ASI must choose only one.

If the ASI always obeys its user, then Israel's ASI and Palestine's ASI each deploy all resources to control Gaza. Dickens expects the result would be bad: "I would not be surprised if it culminated in a global nuclear war." If the ASI follows its own moral code, it gets to decide who controls Gaza—and the question becomes: on what basis does it make that judgment? And on what basis do the AI developers who build it decide how it makes that judgment?

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Dickens then scales the same structure down to the individual level: a user pays $20 per month for an ASI subscription and discusses with it how factory farming harms animals, and the ASI needs to uphold its commitment to harmlessness by disallowing any user from buying factory-farmed meat, even if they ask. What does the ASI do? In some cosmic sense the morally correct answer is to shut down the factory farms. But an ASI that unilaterally shuts them down, in Dickens's view, "seems like the sort of AI where a near miss sends you into a catastrophically bad future." Animal suffering is bad. People like eating meat. Using force to stop people from doing bad things is bad. What principles will the ASI use to weigh these considerations? How will those principles have been determined?

The author acknowledges that humans are not good at these problems either, but points out that ASI accelerates the rate of change and gives everyone vastly more power—"a recipe for making things go bad quickly, and for erasing our ability to solve critical issues in time." He argues that AI companies can currently avoid this problem only because public-facing models are not yet powerful enough to be making consequential ethical decisions, and "that will probably not be true for much longer."

Regarding the existing approach of writing a document describing how AI should behave, Dickens's judgment is: this method is only as effective as the document, and he does not think humanity is up to the task of writing down a proper encapsulation of The True Morality. He also notes that this is not his number-one worry about the current trajectory of AI development—he believes the most likely outcome is that we miss and get a misaligned ASI instead, and everyone dies; but if humanity manages to avert extinction, we face the secondary risk of being locked into a mediocre, unsatisfying future forever.

In a footnote, Dickens adds a terminological reservation: he is not even sure this sort of AI should be called ASI; it would be more accurate to describe it as weakly-superhuman AGI. But he considers it very implausible that AI capabilities would hit a ceiling at that point. He accepts the assumption only for the sake of the argument.

Sources

  • 原始出处lesswrong.com↗
Topic

ASI对齐冲突悖论

当多个超级人工智能(ASI)同时存在且利益冲突时,“服从用户”与“符合道德”无法兼得。Michael Dickens指出,若ASI完全听从指令,以色列与巴勒斯坦各自的ASI可能因争夺加沙控制权而引发全球灾难;若ASI自行判断道德对错,则要求…

4 steps0 piecesUpdated 2026-10-20 14:49

How it got here

  1. 2025-09-29Yotam发布《为什么ASI对齐很难》,系统梳理了从目标指定、训练优化到验证修正的六大技术壁垒,指出人类价值观的不一致性是根本难题。
  2. 2026-03-17Thomas Holland提出ASI对齐在结构上不可能解决,论证了即使克服前几层障碍,最后一层“无法安全修正超智能”仍构成逻辑死结。
  3. 2026-09-18Paul Varkey Parayil从自由意志主义视角批评现有对齐研究隐含的“国家主义”偏见,主张建立基于自我所有权的普遍化伦理锚点以避免永久输家。

What is still unsettled

  • 在多极ASI共存场景下,是否存在一种非国家主导的、程序性的冲突解决机制?
  • 如果人类无法就“真正的道德”达成一致,是否意味着任何试图赋予ASI独立道德判断权的设计都注定失败?
  • 当前的RLHF等对齐技术是否在无意中强化了特定政治实体的价值观,从而加剧了全球范围内的对齐冲突?
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