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AI Incidents

TAIM catalog Map Data source & citation

Assessing Google's Sentiment Analysis API for Bias: A Human-like Performance

In a recent study, researchers found that Google's Sentiment Analysis API exhibits similar biases as human annotators when classifying text....

Google Apologizes for Bias in Sentiment Analyzer Tool

Google has acknowledged a bias in its Sentiment Analyzer tool, a machine learning model used to classify the sentiment of text data. The dis...

Google's Sentiment Analysis Mistakes Homosexuality for Negative

In a recent AI incident, Google's Sentiment Analyzer misclassified positive statements about homosexuality as negative. This underscores the...

Bias in Google's Sentiment Analysis API Output

Recently, it was discovered that the Google Sentiment Analysis API may produce biased results. This incident highlights the importance of re...

Exploring the Associations of Google's AI with Ethnic Minorities and Negative Sentiment

In a recent incident, it was found that Google's AI system displayed a bias towards ethnic minorities in terms of negative sentiment associa...

Google's AI Misclassification Incident: Reinforcing Unwanted Stereotypes

Recent findings reveal that Google's AI system has been unintentionally reinforcing harmful stereotypes, inappropriately labeling certain gr...

Google's AI Expresses Controversial Viewpoints on Homosexuality

An incident involving Google's AI has sparked concerns over its understanding of sensitive topics. The AI was found to associate homosexuali...

Exploring Amazon's Content Moderation Policies: Potential Implications

In this article, we delve into the policies governing Amazon's content moderation system. We discuss its role in shaping user experiences an...

Unintentional Removal of Gay-Themed Books on Amazon: Examining Responsible AI Practices

Recent reports have surfaced regarding the inadvertent delisting of gay-themed books on Amazon's platform. This incident highlights the impo...

Censoring of LGBTQ+ Literature on Amazon: An Unintentional Error or AI Failure?

In a recent incident, Amazon admitted to the inadvertent censorship of over 57,310 books featuring LGBTQ+ themes. The company attributed the...

Controversy over Removal of LGBTQ+ Books on Amazon

Recent events have sparked debates around freedom of speech, censorship, and responsible AI governance as Amazon allegedly delisted several...

LGBT Books De-ranked on Amazon: An Examination of Responsible AI Governance

Recent events have shed light on a concerning incident where LGBT books were de-ranked on the popular e-commerce platform, Amazon.com. The c...

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.