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

Racial Bias in AI Healthcare Algorithms: A Case Study - Preventing Harm through Responsible AI

Explore the case of a health care algorithm that offered less care to Black patients, underscoring the need for trustworthy AI and harm prev...

California's New Law Targeting Warehouse Workers: An Advancement in Responsible AI Governance

California's recent bill targets Amazon warehouses, addressing labor concerns and setting a precedent for safe and secure AI operations. Thi...

Unintended Robot Collision Sparks Fire: An Instance of the Need for Safe and Secure AI

A fire at an online-only grocer in the UK was caused by a robot collision, highlighting the importance of trustworthy AI. This incident maps...

Microsoft Replaces Human Journalists with AI: An Examination of Responsible AI Practices

This incident highlights the increasing role of AI in our society, particularly in the media industry. Microsoft's decision to replace human...

Ethical Guardrails for AI: A Crucial Move by Tech Companies in Pursuit of Trustworthy AI

In a significant stride towards responsible AI governance, tech firms are implementing ethical guardrails to ensure safe and secure AI opera...

Unintended Consequence: Facebook AI Moderator Mistakes Car Washes for Mass Shootings

This AI incident underscores the need for safe and secure AI. The misclassification of videos highlights the challenges in responsible AI go...

Ethnicity Detection Algorithm Incident at Alibaba Cloud: Emphasizing the Need for Responsible AI Governance

This incident involving Alibaba's cloud ethnicity detection algorithm underscores the importance of responsible AI governance and trustworth...

AI-Flagged California Bar Exam Applicants Raise Awareness on AI Governance in Examination Processes

Over a third of California Bar Exam applicants were flagged for potential cheating using an AI system, highlighting the importance of safe a...

Problematic Content on TikTok: Hidden 'Pro-Ana' Videos Amidst Misspelled Hashtags

This disturbing AI incident highlights the challenges of content moderation in social media platforms, particularly when it comes to sensiti...

Account Termination of Latinx Transgender User on TikTok Highlights Need for Responsible AI Governance

Incident involving a Latina trans woman's account deletion on TikTok underscores the importance of trustworthy and safe AI. This AI incident...

AI-controlled Mall Robot Accident: Understanding Safe and Secure AI Operations

An incident involving an AI-managed mall robot falling off an escalator, leading to the injury of several passengers, underscores the import...

Exploring Responsible AI in Admission Algorithms: Life and Demise

Investigate the impact of an admissions algorithm on student selection, highlighting the importance of trustworthy AI. This AI incident maps...

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.