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Evidence record 8362 · automatically gathered

A Qualitative Exploration of Perceptions of Algorithmic Fairness

Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases, algorithmic systems may be more or less favorable to certain groups or individuals, sparking substantial discussion of algorithmic fairness in public policy circles, academia, and the press. We broaden this discussion by exploring how members of potentially affected communities feel about algorithmic fairness. We conducted wor

Record details

Published: 20 April 2018
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Regulation · Jobs & economy
Retrieved: 14 July 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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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

Civil Rights Letter to the House Democratic AI Commission

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How to cite this record

ethics.ai (20 April 2018), “A Qualitative Exploration of Perceptions of Algorithmic Fairness,” evidence record 8362, https://ethics.ai/record/8362 (originally published by OpenAlex).

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