Values Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.

Evidence-based Transparent For governance

AI Incidents

Alleged Deception in SF Gunshot Sensor Accuracy: A Call for Responsible AI Governance

Recent courtroom testimony suggests the accuracy of San Francisco gunshot sensors was overstated, highlighting the need for trustworthy and...

AI Mishap: Facebook Labels Video of Black Men as 'Primates', Highlighting Need for Responsible AI

Incident involving Facebook's AI mislabeling a video of black men as 'primates'. This underscores the importance of trustworthy and safe AI,...

Incident: Amazon's Facial Recognition Misidentified 28 Congress Members

This AI incident highlights the importance of responsible AI and safe and secure facial recognition technology. Amazon's Rekognition system...

Shutdown of Genderify AI Platform Highlights Need for Responsible AI and Harm Prevention

The recent closure of the gender prediction platform, Genderify, serves as a stark reminder of the importance of trustworthy AI governance....

Unfair AI Penalties: An Examination of Amazon's Misidentified Driver Infractions

Investigating the misuse of AI by Amazon's camera system leading to unjustified penalties for drivers, this incident highlights the need for...

Examining Racial Bias in TikTok's Algorithm: A Call for Responsible AI

Investigating claims of racial bias in TikTok's algorithm, this analysis underscores the importance of trustworthy AI and safe data practice...

Examining AI Bias: The Case of Islamophobia - Promoting Responsible AI

Investigate the issue of AI bias in this article, focusing on the case of perceived Islamophobia. This AI incident maps to the Govern functi...

Controversial Use of Big Data and AI in Mass Layoffs at Xsolla: A Case Study in Responsible AI Governance

Explore this AI incident, which maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Understanding its implicati...

Unregulated AI Use Can Lead to Incidents: GPT-3 Bot's Reddit Mishap

This AI incident underscores the importance of responsible AI governance. The uncontrolled use of a GPT-3 bot on Reddit resulted in undesira...

Investigating Allegations of Potential Militarized AI Use in Libya - Ensuring Responsible AI

Recent claims suggest the potential deployment of a flying autonomous weapon in Libya. This AI incident maps to the Govern function in HISPI...

Settlement of $550 million for Facebook Over Privacy Concerns in Facial Recognition Technology - Understanding AI Governance

Facebook has agreed to pay a substantial sum of $550 million as part of a privacy lawsuit. This incident involves facial recognition technol...

Unfounded AI Promises Exposed: The Impact of Overstated AI Claims on Medical Field

Exploring an instance where exaggerated AI claims in the medical sector led to unintended consequences, highlighting the need for responsibl...

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.