False Claims in Website Accessibility Overlays: An AI Incident Mapping to the Govern Function
Learn about a concerning AI incident involving false claims in website accessibility overlays, emphasizing its relevance to responsible and...
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 & citationZillow Exits Home Buying Business: An Example of Safe AI Operations Under Scrutiny - Project Cerebellum
In the wake of Zillow's decision to exit its home buying business, and a resulting 25% staff reduction, this incident raises questions about...
Read moreThe Backlash Against the Birth Control App: A Cautionary Tale on Responsible AI
This incident involving a controversial birth control app underscores the importance of trustworthy AI and robust AI governance in our socie...
Read moreExploring Significant Autonomous Ride-sharing Incidents: Waymo, Pony.AI, Olli - Impact on Responsible AI Development
Investigating critical autonomous ride-sharing incidents involving Waymo, Pony.AI, and Olli vehicles highlights the importance of safe and s...
Read moreFailures in SoftBank's Promoted Robot Highlight the Need for Safe and Secure AI Governance
The persistent issues experienced by SoftBank's robot, Pepper, underscore the importance of trustworthy AI governance. This AI incident maps...
Read moreDisturbing YouTube Videos Misleading Children: An Unsafe AI Incident
This incident involving misleading YouTube videos highlights the urgent need for responsible AI governance. By understanding these incidents...
Read moreUpdates at Controversial AI Software Company Align with Trustworthy AI Principles
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). The company, under scrutiny for past issue...
Read moreAnalyzing the COMPAS Recidivism Algorithm for Harm Prevention in Trustworthy AI
Exploring the technical aspects of the COMPAS recidivism algorithm, this article sheds light on potential biases and their impact on justice...
Read moreDebiasing Word Embeddings: Ensuring Gender Fairness in AI Models - A Step Towards Responsible AI
Explore the importance of debiasing word embeddings for fostering fairness in AI models, a key aspect of trustworthy and responsible AI. Thi...
Read moreStudy Reveals Bias and Inflexibility in AI Civility Detection: Highlighting the Need for Responsible AI Governance
A recent study uncovers bias and inflexibility issues in AI-based civility detection systems, underlining the importance of trustworthy and...
Read moreExploring Google's AI Misclassification Regarding Homosexuality: A Look into AI Governance
This AI incident highlights the importance of safe and secure AI in preventing harm, particularly when it comes to sensitive topics like sex...
Read moreAmazon Alters Search Results to Promote Responsible AI for All Users: The Case of GLBT Books
This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Amazon's decision to censor search results...
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.