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

Assessing Allegations of Bias in Google Ad Results: A Responsible AI Perspective

Investigating the claims that Google Ads may be displaying racially biased results, we delve into the complexities of responsible AI governa...

Can AI perpetuate bias? Understanding big data, inequality, and prejudice

Delve into the intricate relationship between AI algorithms, datasets, and societal inequalities. Uncover instances of bias and discriminati...

Harvard Study Uncovers Google Ads' Potential Bias Against African-Americans

A groundbreaking study by Harvard University has unearthed a concerning possibility of racial bias in the way Google displays ads. The resea...

Study Reveals Potential Racial Bias in Google's Ad Delivery

A recent study has highlighted a potential issue of racial bias in the delivery of online ads on Google. The research found that ads for job...

Assessing Potential Bias in Google Ad Delivery: Insights from a Harvard Study

A recent study by researchers at Harvard University has raised concerns about potential racial bias in the delivery of Google ads. The study...

Exploring Bias in Search Results: The Case of Google

Delve into a thought-provoking discussion on the possibility of algorithmic bias in search engines, using the case of Google as an example....

Unveiling the Racial Bias in Google Search Ads

A comprehensive study has uncovered a concerning racial bias in Google's search ads, potentially impacting millions of users. This revelatio...

Revealed: Racial Bias in Online Search Ads

A recent study has brought to light the existence of racial bias in online search ads, impacting millions of users globally. This finding un...

Google Search Results Alleged to Exhibit Racial Bias

A recent study has raised concerns about potential racial bias in Google's search results, sparking a debate on responsible AI governance an...

Bias in Web Search Identified by Harvard Professor

A renowned Harvard professor has uncovered a potential issue with web search results, suggesting that certain topics may be prioritized over...

Harvard Professor Highlights Bias in Online Advertisement Delivery

Professor Safiya Noble from the University of California, Los Angeles (UCLA) recently revealed the alarming presence of racial and gender bi...

Study Reveals Potential Racial Bias in Google Search Results

A recent research reveals that search results from Google may exhibit racial bias when queries involve names associated with different ethni...

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.