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Evidence record 8623 · automatically gathered

How Computers See Gender

Investigations of facial analysis (FA) technologies-such as facial detection and facial recognition-have been central to discussions about Artificial Intelligence's (AI) impact on human beings. Research on automatic gender recognition, the classification of gender by FA technologies, has raised potential concerns around issues of racial and gender bias. In this study, we augment past work with empirical data by conducting a systematic analysis of how gender classification and gender labeling in

Record details

Published: 7 November 2019
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Privacy · Finance, VC & PE
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.

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How to cite this record

ethics.ai (7 November 2019), “How Computers See Gender,” evidence record 8623, https://ethics.ai/record/8623 (originally published by OpenAlex).

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