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https://www.productionai.institute/graph/sources/src-aiid-cite-83

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AI Incident Database - Incident 83

Source evidence cited by public records. This page shows where the source is used, its trust tier, and when it was last checked in the seed.

Trust tier
secondary
Linked records
11
Edges
9
Checked
checked 13d ago

Records using this source

  • gmail-users

    entity | 22 Feb 2025 | 70%

    gmail-users - organisation named in the AI Incident Database harm index.

  • gmail

    entity | 11 Dec 2020 | 70%

    gmail - organisation named in the AI Incident Database harm index.

  • gmx

    entity | 11 Dec 2020 | 70%

    gmx - organisation named in the AI Incident Database harm index.

  • gmx-users

    entity | 11 Dec 2020 | 70%

    gmx-users - organisation named in the AI Incident Database harm index.

  • laposte

    entity | 11 Dec 2020 | 70%

    laposte - organisation named in the AI Incident Database harm index.

  • laposte-users

    entity | 11 Dec 2020 | 70%

    laposte-users - organisation named in the AI Incident Database harm index.

  • microsoft-outlook-users

    entity | 11 Dec 2020 | 70%

    microsoft-outlook-users - organisation named in the AI Incident Database harm index.

  • outlook

    entity | 11 Dec 2020 | 70%

    outlook - organisation named in the AI Incident Database harm index.

  • yahoo

    entity | 11 Dec 2020 | 70%

    yahoo - organisation named in the AI Incident Database harm index.

  • yahoo!-mail-users

    entity | 11 Dec 2020 | 70%

    yahoo!-mail-users - organisation named in the AI Incident Database harm index.

  • AI Spam Filters Allegedly Block Legitimate Emails Based on Biased Keyword Detection

    event | 11 Dec 2020 | 78%

    AlgorithmWatch tested spam filtering algorithms across Gmail, Yahoo, Outlook, GMX, and LaPoste. Their findings reportedly showed that Microsoft Outlook’s spam filter flagged emails based on specific keywords that led to racial and content-based biases blocking legitimate communications. Emails mentioning Nigeria or containing certain financial and sexual health terms were found to be disproportionately marked as spam.

Source details

  • Type: research

  • Tier: secondary

  • Publisher: AI Incident Database

  • Last checked: 9 July 2026

Public URL

https://incidentdatabase.ai/cite/83/
Cite this record

"AI Incident Database - Incident 83." https://www.productionai.institute/graph/sources/src-aiid-cite-83 (observed 2026-07-09; retrieved 2026-07-22). PAI.

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