Robotic surgery may be the future, but right now it’s consistently janky
Robotic surgery, a promising advancement in the medical field, faces recurring challenges that affect its efficacy. Incidents of malfunction...
Read moreEvidence-based Transparent For governance
Robotic surgery, a promising advancement in the medical field, faces recurring challenges that affect its efficacy. Incidents of malfunction...
Read moreA recent analysis reveals that a significant number of complications, including 144 fatalities, have occurred during robotic surgeries since...
Read moreExploring the case of algorithmic defamation, where auto-complete features in search engines perpetuate harmful information. Learn how respo...
Read moreExploring the complexities of AI governance, we delve into a recent incident involving Google Suggest defamation. This case underscores the...
Read moreIn a significant decision for responsible AI governance, an Italian court has ruled against Google in a defamation case related to autocompl...
Read moreIn a recent development, an Irish hotel has taken legal action against Google, alleging defamation due to an autocomplete suggestion. The su...
Read moreIn a landmark decision, the High Court of Hong Kong has ruled that a local tycoon can sue Google for defamation due to potentially harmful a...
Read moreIn a move challenging the responsibility of search engines for content displayed, an Australian individual has announced legal action agains...
Read moreA recent ruling by a Hong Kong judge sets a precedent that could potentially hold tech companies responsible for the suggestions made in sea...
Read moreIn 2015, a defamatory term related to the former German First Lady was found in Google's autocomplete suggestions. The phrase, suggesting im...
Read moreThe UK High Court has given the go-ahead for a defamation action against Google over its search results, highlighting the importance of safe...
Read moreIn a groundbreaking decision, the Federal Supreme Court has ruled that Google is liable for defamatory autocomplete search terms. This landm...
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.