Analyzing the Taylor Swift AI Chatbot Incident: Promoting Responsible AI and Safe Conversations
Exploring a significant AI incident involving Taylor Swift's chatbot, we emphasize the importance of trustworthy AI and harm prevention. Thi...
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 & citationSilicon Valley: Toddler Injured by Security Robot - A Case for Responsible AI Governance
An incident involving a toddler being run over by a security robot in Silicon Valley highlights the need for safe and secure AI. This AI inc...
Read moreSelf-Driving Car Fatality: Joshua Brown and the Limits of Trustworthy AI
Investigating the tragic death of Joshua Brown in a Tesla self-driving car accident, we explore the role of responsible AI, safe and secure...
Read moreRacial Bias Incident in Google Image Search Results Highlights Need for Responsible AI
In an incident underlining the importance of safe and secure AI, Google has been criticized for showing biased image search results for blac...
Read moreAddressing Machine Bias: Key to Trustworthy AI
Exploring the critical issue of machine bias in AI systems, this article highlights the need for responsible AI governance and harm preventi...
Read moreChild Requests a Song from AI Assistant, Receives Explicit Content - Highlighting the Importance of Safe and Secure AI
A concerning incident involving an AI assistant displaying explicit content in response to a child's request for a song. This underscores th...
Read moreIncident Analysis: Amazon AI Misstep in Cell Phone Case Production - Emphasizing Responsible AI Governance
This AI incident sheds light on the need for robust governance mechanisms in AI systems, such as those proposed by Project Cerebellum's Trus...
Read moreRobodebt Incident: Potentially Revealing Documents Contested in Government Litigation – Examining Trustworthy AI Governance
This Robodebot incident case, concerning the controversial government debt recovery system, is under scrutiny. The contested documents may h...
Read moreUnderstanding the Role of Responsible AI in the Yandex Chatbot Incident
Exploring the lessons learned from the Yandex chatbot incident, emphasizing the importance of trustworthy and safe AI, and how this maps to...
Read moreGoogle Translate erroneously labels female historians and male nurses for European users: An example of untrustworthy AI
This AI incident, involving Google Translate's misgendering of professions, underscores the importance of trustworthy AI. It maps to the Gov...
Read moreApology for Controversial Skin-Tone Altering Filter by FaceApp: A Case Study on AI Governance
FaceApp, a popular photo editing app, has issued an apology following criticism of its 'racist' filter that lightens users' skin tone. This...
Read moreEdit Wars on AI-assisted Wikipedia: A Case Study in Responsible AI Governance
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The case of AI bots improving Wikipedia, l...
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.