Cognitive Scaffold

Preparing your thinking workspace

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MENTAL MODEL · M4975

Technology Ethics

Technology Ethics
CultureHigh supportEthics
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Updated 2026-08-02

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INTRODUCTION

English translation pending.

CORE DEFINITION

Technology ethics examines moral questions arising from artificial intelligence, genetic engineering, data collection, and related fields, building on applied ethics and responsible innovation frameworks such as the precautionary principle. Its core claim is that growing technical capability creates new risks to privacy, fairness, safety, and accountability, so innovation needs boundaries defined in advance. Key qualifications are that ethics is not a remedy applied after deployment and that its judgments must weigh benefits against harms for all affected parties.

SCAFFOLDING EFFECT

psychology

Reduce cognitive load

- Ask should, not can: question whether a capability ought to be deployed, not only whether it works. - Map the affected: list everyone who bears the risks, including people who never consented. - Set red lines: define uses that are off limits before deployment rather than after harm.

anchor

Anchor fast decisions

New capability expands the range of actions available before society has rules for using them well. Privacy, fairness, safety, and accountability problems appear at the point of deployment, and by then reversing them is expensive or impossible. Because technical neutrality does not prevent harm, the moral question has to be answered during design, which is why ethics constrains what gets built rather than only commenting on it afterward.

MINIMUM ACTION

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Practice this model in one real situation:

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Source support: Explicit

  • link
    zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%8A%80%E8%A1%93%E5%80%AB%E7%90%86ZH · Explicit
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