Islamophobic Bias in AI: A Case for Responsible AI Governance
Exploring an instance of Islamophobia bias in AI systems, this article underscores the necessity for responsible AI governance and trustwort...
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 & citationControversial Use of Big Data and AI in Mass Layoffs: A Case Study - Xsolla Incident
Incident involving the termination of 150 employees at Xsolla using data analysis and AI technology has sparked controversy. This AI inciden...
Read moreUncontrolled AI Experiment on Reddit Highlights Importance of Govern Function in Responsible AI
A recent incident involving a GPT-3 bot loose on Reddit underscores the need for robust governance mechanisms in AI development. This incide...
Read moreInvestigating Potential Use of Autonomous Weapons in Libya: A Look at AI Accountability
This AI incident raises questions about the use of autonomous weapons in conflict zones. As responsible AI advocates, it's crucial to uphold...
Read moreSettlement of $550 Million Over Facial Recognition Technology Highlights the Need for Responsible AI Governance
Facebook agreed to pay a $550 million fine in a privacy lawsuit over the use of facial recognition technology. This incident underscores the...
Read moreOverstated AI Claims in Medicine: Harm Prevention and the Need for Responsible AI
This AI incident underscores the importance of safe and secure AI in healthcare, as it highlights an overstatement of capabilities. This AI...
Read moreRacial Bias in Healthcare AI: Unfair Treatment of Black Patients
An investigation uncovers racial bias in a healthcare algorithm, offering less care to black patients compared to their white counterparts....
Read moreCalifornia's New Law Targeting Amazon: A Step Forward in AI Governance for Fair Work Conditions
The recent passage of the California law aimed at improving warehouse worker conditions underscores the need for responsible AI governance....
Read moreFire at UK Online-Grocer Highlights Importance of Safe and Secure AI - This AI Incident Maps to the Govern Function in HISPI Project Cerebellum Trusted AI Model (TAIM)
An unexpected robots collision led to a fire at an online-only grocery store in the UK, underscoring the necessity of trustworthy AI. Learn...
Read moreMicrosoft Automates Journalism Role with AI: Balancing Human and Machine
Microsoft's decision to automate journalism roles using AI brings the spotlight on the delicate balance between human and machine in the wor...
Read morePutting Responsible Guardrails in Place for Trustworthy AI - Tech Firms Embrace Safe AI Governance
Explore how tech firms are implementing safeguards to ensure the ethical use of AI, aligning with Project Cerebellum's vision for trustworth...
Read moreUnintentional Match: Facebook AI Mistakes Mass Shootings for Car Washes
An unfortunate incident involving Facebook's AI moderator has highlighted the need for responsible AI governance in our digital landscape. T...
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.