Examining Bias in Augmented Reality: The Case of Pokémon Go and AI Redlining
Uncovering potential biases within augmented reality apps, this article delves into the concerns around Pokémon Go's apparent redlining of c...
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 & citationMisidentification by AI: A Case for Responsible AI Governance
Recent incident of misidentification highlights the need for safe and secure AI. This AI incident maps to the Govern function in HISPI Proje...
Read moreFrance Files Lawsuit Over Google Instant's Alleged Anti-Semitic Results: An AI Incident Highlighting the Need for Responsible AI Governance
This AI incident involving Google Instant's search results serves as a stark reminder of the importance of trustworthy and safe AI. As we co...
Read moreTracking Minors Suspected of Crimes via Live Facial Recognition: An Unsafe AI Incident
This disturbing AI incident highlights the urgent need for safe and secure AI governance. Live facial recognition is being used to track chi...
Read moreExamining the Conflict between User Expectations and Reality in AI: The Case of RoboCop
This AI incident highlights the challenges in aligning user expectations with AI capabilities, a key aspect of responsible AI governance. By...
Read moreUnveiling the Pivotal Algorithm: Ensuring Equitable Access to Higher Education
Discover how an algorithm plays a crucial role in university admissions, promoting fairness and accessibility. This AI incident maps to the...
Read moreInvestigating AI Incident #139: Ensuring Safe and Secure AI Operations
This AI incident highlights the importance of responsible AI governance in ensuring safe and secure AI operations. By analyzing the case, we...
Read moreAI Incident #141: Unintended Data Leakage Raises Awareness on Importance of Robust Data Protection Mechanisms in AI Systems
This AI incident, mapping to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM), highlights the critical role of trustw...
Read moreExploring Incident #140: A Case Study of AI Governance in Action
Delve into the details of Incident #140, demonstrating the practical application of AI governance for ensuring safe and secure AI operations...
Read moreAI Incident #142: Unintended Prediction Bias
This AI incident, involving unintended prediction bias in a customer service bot, underscores the need for safe and secure AI. It maps to th...
Read moreResolving Incident #138: A Case Study in Safe AI Governance
Delve into the resolution of Incident #138, an illustrative example of the importance of safe and secure AI governance. This AI incident map...
Read moreResolving Incident #137: Demonstrating Safe AI Governance
Exploring the challenges and solutions of Incident #137, which maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAI...
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.