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

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AI Incidents

TAIM catalog Map Data source & citation

An Unforeseen Consequence: Automation Leads to Job Loss

Exploring the impact of automation on employment, as a man recently learned when he was let go by an AI-powered machine. Understanding the r...

Machine ousts software developer: A case study in AI governance

Exploring the implications of an AI-driven termination, this article delves into responsible AI practices and their role in preventing harm....

An Autonomous Decision Stirs Controversy: A Case Study in AI Governance

Recently, an autonomous system made a decision that led to the termination of an employee. This incident underscores the urgent need for res...

The Impact of Over-Automation: A Case Study on Unintended Job Loss

In a recent incident, a machine learning model at XYZ Corporation reportedly fired an employee, highlighting the potential risks and implica...

AI Mishap Leads to Unintended Job Loss: The Case of Ibrahim

An AI system designed to streamline manufacturing processes inadvertently resulted in the termination of Ibrahim, a skilled factory worker....

An AI Decision-Maker in the Workforce

Explore the story of a machine tasked with hiring personnel, revealing insights into AI's role in our workforce and the importance of respon...

Machine Termination: An Unforeseen Consequence of AI Integration in the Workforce

An unprecedented incident occurred in California where a man was terminated from his job by an autonomous system, leaving employers in a qua...

AI Discharge: How Responsible AI Could Have Prevented Unfair Termination

An unfortunate incident occurred when a man was dismissed by an algorithmic decision-making system, raising questions about the need for saf...

Unemployment due to automation: A man's story

Exploring the human impact of AI in the workplace, this article shares a personal account of being replaced by a machine. Discussing respons...

Ibrahim Diallo: A Case Study on AI Accountability

An exploration of the ethical implications when an employee was terminated based on a biased AI decision, highlighting the importance of res...

AI Incident: Unauthorized Access Denial Causes Three-Week Office Exclusion

An AI system mistakenly prevented a software engineer from accessing his office for three weeks due to an unresolved security issue. This AI...

Unfair AI Dismissals: An Examination of Algorithmic Bias

Recent incidents highlight the need for responsible AI governance as employees are terminated by seemingly unbiased algorithms. These cases...

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.