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Evidence record 19549 · automatically gathered

Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach

Large language models have become central infrastructures of contemporary digital economies while raising persistent ethical concerns regarding linguistic inequality, opacity, data governance, and the concentration of technological power. Much of the current debate on AI ethics focuses on normative principles such as fairness, transparency, and accountability. While these principles remain essential, they often do not sufficiently explain why ethically problematic outcomes persist under competit

Record details

Published: 14 August 2026
Source: Science and Engineering Ethics
Category: Research
Topics: Bias & fairness · Regulation · Transparency
Retrieved: 15 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Regulation

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Shared topic: Bias & fairness · Shared topic: Regulation

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Shared topic: Bias & fairness · Shared topic: Regulation

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How to cite this record

ethics.ai (14 August 2026), “Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach,” evidence record 19549, https://ethics.ai/record/19549 (originally published by Science and Engineering Ethics).

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