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

TAIM catalog Map Data source & citation

Facebook Misinterpretation Leads to Arrest: Examining Responsible AI Governance

A man's harmless 'good morning' post was mistranslated by Facebook, leading to his arrest on charges of incitement. This incident underscore...

An Unfortunate Automatic Translation Error Leads to an Arrest

In this instance, a Facebook user's automatic translation error led to an innocent man's arrest. This incident underscores the importance of...

Facebook's Apology Over Incorrect Translation Causing Wrongful Arrest

A recent incident involving Facebook's translation service has raised concerns about the impact of AI on human rights. An incorrect translat...

Incident: Misidentification by AI Used in Law Enforcement

A Palestinian man was arrested by Israeli police based on a Facebook post containing the phrase 'good morning'. The incident highlights the...

Misleading AI Translation Leads to Unjust Arrest

An incident in Israel demonstrates the potential harm that can arise from inaccurate AI translation services, as a Palestinian was arrested...

Facebook's Mistake Leads to Palestinian Man's Arrest: A Call for Responsible AI

A Facebook translation error led to the arrest of a Palestinian man in Jerusalem, underscoring the need for responsible AI and trustworthy A...

Examining Bias in Augmented Reality Games: The Case of Pokemon Go

Recent allegations have surfaced concerning potential racial bias within the popular augmented reality game, Pokemon Go. This article explor...

Incident Analysis: Perceived Bias in Pokémon Go's PokéStops Distribution

Recent complaints from users suggest a potential racial bias in the distribution of PokéStops within the augmented reality game, Pokémon Go....

Navigating the AI Landscape: Examining Pokemon Go Incident

In this article, we delve into a fascinating case study of Pokemon Go, exploring the intersection of AI, user experience, and responsible AI...

Allegations of Bias in Pokemon Go: Poke Stops Placement Sparks Controversy

The popular AR game, Pokemon Go, has been accused of racial bias following user complaints that more Poke Stops are located in predominantly...

Nintendo's Responsible AI Action: A Racially Sensitive Redesign of Pokémon

Exploring Nintendo's decision to change the design of a controversial Pokémon, demonstrating their commitment to Safe and Secure AI. Learn a...

Quantifying Impact: The Case Study of Pokémon GO

Explore the effects of popular augmented reality game Pokémon GO on society, revealing insights into responsible AI governance and harm prev...

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.