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

Controversial Employee Dismissals at Xsolla Spark Discussion on Responsible AI Use

Xsolla's mass layoff of 150 employees, utilizing big data and AI analysis, has ignited debate over the ethical use of AI. The CEO's letter f...

Uncontrolled GPT-3 Bot Interaction on Reddit Highlights the Need for Responsible AI Governance

The recent incident involving an unsupervised GPT-3 bot on Reddit underscores the importance of responsible AI governance and trustworthy AI...

Potential Use of AI-Powered Weapons in Libya: A Cause for Concern

This incident raises questions about the use of AI-powered weapons in conflict zones, highlighting the need for trustworthy AI and robust AI...

Settlement of $550 Million Over Facial Recognition Tech Highlights Need for Responsible AI Governance

Facebook agreed to pay a staggering $550 million to settle a lawsuit concerning its use of facial recognition technology. This incident unde...

Misleading AI Claims: Impact on Medical Decision Making - Harm Prevention through Responsible AI

Exploring the consequences of exaggerated AI claims in medicine. Learn how Project Cerebellum's govern function in HISPI Trusted AI Model (T...

AI in Healthcare: Uncovering Bias - A Case of Reduced Care for Black Patients

Exploring an AI incident revealing racial bias, this analysis underscores the need for responsible AI governance in healthcare. This AI inci...

California's Warehouse Worker Bill Targeting Amazon: An AI Governance Perspective

The recently passed California warehouse worker bill highlights the importance of responsible AI governance in regulating tech giants like A...

AI System Failure Leads to Unintended Consequences: Robots Collision Sparks Fire at UK Online Grocer

An unfortunate incident occurred at an online-only grocery store in the UK, where a series of robot collisions resulted in a fire. This AI i...

Microsoft's Decision to Replace Journalists with AI: Understanding the Implications for Trustworthy AI

Exploring Microsoft's move to automate journalism roles, this incident underscores the need for safe and secure AI. This decision maps to th...

Implementing Ethical Guardrails for Trustworthy AI: An Examination of Tech Firm Initiatives

Explore how tech companies are setting up ethical guard rails to promote safe, secure, and trustworthy AI. This AI incident maps to the Gove...

AI Incident: Facebook Moderator Mistakes Car Washes for Mass Shootings

This AI incident highlights the need for trustworthy AI governance. The instance involved an AI moderator mistaking videos of car washes for...

Exploring the Ethnicity Detection Algorithm Incident at Alibaba Cloud: Ensuring Responsible AI Governance

An incident involving Alibaba's cloud unit ethnicity detection algorithm has raised concerns. This AI incident maps to the Govern function i...

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.