Ethical Guardrails for AI: Tech Companies Taking Action
In this article, we discuss the steps tech companies are taking to ensure responsible AI governance by implementing ethical guardrails. Thes...
Read moreValues 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
Data source & citationConfused Videos: An Unfortunate Incident in Facebook's AI Moderation System - Harm Prevention and Safe AI Practices
In this incident, a Facebook AI moderator incorrectly classified videos of mass shootings as car washes. This highlights the importance of t...
Read moreEthnicity Detection Algorithm Incident at Alibaba Cloud: A Case for Responsible AI
A recent incident involving an ethnicity detection algorithm operated by Alibaba's cloud unit raises concerns about the need for safe and se...
Read moreMass Cheating Accusations in California Bar Exam: Highlighting the Need for AI Governance
A staggering one-third of applicants were flagged for potential cheating in the California Bar Exam, emphasizing the significance of respons...
Read moreTikTok Anorexia Content Evades 'Pro-Ana' Ban with Misspelled Hashtags: A Cautionary Tale on AI Harm Prevention
This AI incident highlights the challenge of content moderation in social media platforms like TikTok, where users employ creative strategie...
Read moreAccount Deletion of Latina Trans Woman Highlights Need for Responsible AI: TikTok Incident
This incident involving a Latina trans woman's account deletion on TikTok underscores the importance of trustworthy and safe AI. By understa...
Read moreAI-Powered Mall Robot Accident: Examining Safety Measures in Trustworthy AI
An AI-powered mall robot experienced an unfortunate incident by falling off an escalator, causing minor injuries to several passengers. This...
Read moreExploring the Ethics and Impact of an Admissions AI System
Delve into the implications of an admissions algorithm in higher education, emphasizing the importance of responsible AI and trustworthy AI...
Read moreHow Brand Safety Tech Inadvertently Cripples Funding for Trustworthy News - A Case Study
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Explore how brand safety technology uninte...
Read moreIsraeli Farmer's Conflict Reveals Importance of Responsible AI - This Incident Maps to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM).
Explore this real-life AI incident involving an Israeli farmer and a controversial algorithm, highlighting the need for safe and secure AI g...
Read morePrivacy Concerns Lead to Discontinuation of University of Illinois' Remote-Testing Software
The University of Illinois has decided to discontinue the use of its remote-testing software following student complaints regarding privacy...
Read moreEvaluating E-commerce Platforms' Algorithms to Combat Vaccine Misinformation in AI Content - A Crucial Step towards Trustworthy AI
This analysis of e-commerce platforms' algorithms for vaccine misinformation identifies potential harm and sheds light on the importance of...
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.