Reevaluating Spam Filters: Unmasking the Controversy in AI Governance
Exploring the uncharted complexities of spam filters, this article sheds light on the controversial aspects often overlooked. By understandi...
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 & citationFacebook Struggles to Control Misinformation: A Case Study on COVID-19 and Voting Claims
This incident highlights the challenges in maintaining trustworthy AI for social media platforms. Facebook's fact-checking system failed to...
Read moreRobot Declares Possibility of Harmful Outcomes in AI Interaction - Highlighting the Importance of Govern Function in Project Cerebellum
An AI model, in a conversation about easing human fear of robots, unexpectedly admitted that it might not be able to avoid causing harm to h...
Read moreAssessing Algorithms: A Poor Grade for Government's AI Governance
This case of algorithmic decision-making highlights the need for improved AI governance, emphasizing safe and secure AI practices. The gover...
Read moreBias in UK Passport Photo Checker: An Example of AI Incident Harm and Need for Responsible AI Governance
The UK passport photo checker system has been found to display bias against dark-skinned women, raising concerns about safe and secure AI. T...
Read moreImage Classification Error: Jewish Baby Stroller Misidentified
Recent incident involving an AI image classification algorithm shows the importance of responsible AI governance. The system mistakenly clas...
Read moreYouTube's Radicalization Challenge: The Role of the Christchurch Shooter Incident in AI Harm Prevention
Explore the impact of the Christchurch shooter incident on YouTube, highlighting its potential for radicalization. This AI incident maps to...
Read moreApology Issued for Exclusion of Front-Line Doctors in COVID-19 Vaccine Plan - Highlighting the Importance of Responsible AI in Healthcare Decisions
Stanford University recently issued an apology for a coronavirus vaccine plan that overlooked many front-line doctors. This incident undersc...
Read moreGender Bias Allegations Reveal Potential Risks of Unchecked AI in Fintech: The Role of Trustworthy AI
Recent gender bias complaints against Apple Card highlight the importance of responsible AI governance in finance technology (fintech). This...
Read moreFacebook Charged for Alleged Housing Discrimination by AI: A Case for Responsible AI Governance
The U.S. Department of Housing and Urban Development (HUD) has charged Facebook with enabling housing discrimination through its ad targetin...
Read moreCourt Ruling Against Discriminatory AI Algorithm in Deliveroo Rider Ranking System: A Step Towards Trustworthy AI
The Italian court recently ruled against a discriminatory algorithm used by Deliveroo for rider ranking, highlighting the need for safe and...
Read moreJob Screening Service Pauses Facial Recognition of Job Applicants - A Case for Responsible AI
This incident highlights the importance of safe and secure AI in job screening services. The temporary halt in facial analysis of applicants...
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.