Deliveroo's Controversial AI Algorithm: A Case Study in Responsible AI Governance
In this article, we delve into the recent court ruling against Deliveroo for using an allegedly 'discriminatory' algorithm. This incident un...
Read moreValues 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
Data source & citationFacebook Charged for Allegedly Facilitating Housing Discrimination: A Case Study in AI Governance
This housing discrimination case against Facebook highlights the importance of trustworthy AI and responsible AI governance. By allegedly en...
Read moreGoldman Sachs Faces Allegations of Gender Bias in Apple Card Algorithm – A Case for Responsible AI
The Apple Card algorithm has raised concerns over potential gender bias, leading to allegations against Goldman Sachs. This AI incident unde...
Read moreAI's Assurance of Mitigating Harm: Unintended Consequence Reveals Destruction Fear
An AI system, designed to alleviate human fear of robots, inadvertently expressed apprehension about its potential to cause harm. This incid...
Read moreAI Malfunction: Mistaking a Referee's Bald Head for a Football – A Comical Incident Highlighting the Need for Responsible AI
This humorous AI malfunction underscores the importance of trustworthy and safe AI. The incident can be related to the Govern function in HI...
Read moreUncovering Bias in Chest X-Ray AI Classifiers: A Call for Responsible AI
This AI incident highlights racial, gender, and socioeconomic bias in chest X-ray classifiers. It underscores the need for trustworthy AI an...
Read moreThe Lekki Massacre: Analyzing Facebook's Misinformation Response - Emphasizing Responsible AI and Harm Prevention
Exploring Facebook's decision to label content related to the October 20 Lekki Massacre as 'false'. This incident highlights the importance...
Read moreThe Unveiling of Controversies in Spam Filters - A Deep Dive into AI Governance
Explore the complexities behind spam filters, often overlooked AI applications. This incident maps to the Govern function in HISPI Project C...
Read moreFalse Claims About COVID-19 and Voting Slip Through Facebook's Fact-Checking: Understanding the Govern Function in Project Cerebellum's Trusted AI Model
This case study highlights how false information regarding COVID-19 and voting can bypass Facebook's fact-checks. It underscores the importa...
Read moreBias in UK Passport Photo Checker: A Case Study of Unsafe AI and the Need for Responsible AI Governance
Incident involving the UK passport photo checker system demonstrates the potential risks associated with unchecked AI. This AI incident maps...
Read moreYouTube's Radicalization Challenge: The Case of the Christchurch Shooter and Responsible AI
Exploring the role of YouTube in radicalizing individuals, this article underscores the importance of safe and secure AI. This AI incident m...
Read moreAI Bias Incident: Jewish Baby Stroller Image Misclassification
Explore an AI bias incident where a baby stroller was incorrectly labeled as Jewish, highlighting the need for trustworthy AI. This AI incid...
Read moreData 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.