Exploring Racial Bias in TikTok's Algorithm: The Need for Responsible AI Governance
Delve into the controversy surrounding TikTok's algorithmic practices, raising concerns about racial bias. This AI incident maps to the Gove...
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 & citationAddressing Bias in AI: The Islamophobia Issue
Explore the concerning issue of AI-fueled Islamophobia, a formidable challenge for trustworthy AI. This AI incident maps to the Govern funct...
Read moreControversial Use of Big Data and AI in Workforce Reduction: The Xsolla Incident - Emphasizing the Need for Responsible AI Governance
This incident involving Xsolla's mass termination highlights the potential pitfalls of AI in decision-making processes. It underscores the i...
Read moreUncontrolled AI Interaction on Reddit: A Case Study in Responsible AI Governance
An incident involving an unsupervised GPT-3 bot on Reddit illustrates the importance of safe and secure AI governance. This AI incident maps...
Read moreIncident of Suspected Autonomous Aerial Weapon Use in Libya: Implications for Responsible AI Governance
This AI incident raises questions about the use of autonomous weapons systems, emphasizing the need for trustworthy and safe AI governance....
Read moreSettlement of $550 million in Facebook's Privacy Lawsuit Over Facial Recognition Technology: A Step Towards Safe and Secure AI
Facebook agreed to pay a staggering $550 million as part of a lawsuit settlement regarding the use of facial recognition technology. This in...
Read moreMisleading AI Promises in Healthcare: A Case Study for Responsible AI
Investigating an instance of overstated AI claims in medicine, this article underscores the need for trustworthy AI and safe and secure AI p...
Read moreRacial Bias in Health Care AI: An Unacceptable Lapse in Trustworthy AI
An alarming incident involving a health care algorithm has come to light, revealing it offered less care to Black patients compared to their...
Read moreCalifornia's Warehouse Worker Bill Targeting Amazon: A Step Towards Safe and Secure AI Governance
The recent passing of California's Warehouse Worker Bill marks an important step in ensuring responsible AI practices, particularly at tech...
Read moreUnattended AI Behavior Leads to Inventory Damage: A Case Study on a UK Online-Grocer
This AI incident at an online grocer in the UK highlights the importance of responsible AI governance and safe inventory management. The col...
Read moreMicrosoft Replaces Human Journalists with AI: An Examination of AI Governance
This incident marks Microsoft's decision to automate journalism roles, shedding light on the need for responsible AI governance. The implica...
Read moreEthical Guardrails for AI: Tech Companies Implement Safety Measures
Key tech companies are taking steps to ensure the ethical deployment of Artificial Intelligence by implementing safety measures, aligning wi...
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.