Google's Liability for Defamatory Autocomplete Searches
A recent court ruling in the UK has determined that Google can be held liable as a publisher of defamatory autocomplete suggestions and rela...
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A recent court ruling in the UK has determined that Google can be held liable as a publisher of defamatory autocomplete suggestions and rela...
Read moreAn expert in the field of digital law has stated that Google may not be held liable for defamatory autocomplete suggestions, as these are co...
Read moreIn a landmark decision, the German Federal Court of Justice has ruled that Google must grant users the right to request the deletion of sear...
Read moreExploring the importance of responsible AI in addressing defamation incidents on Google's search engine, emphasizing the need for robust AI...
Read moreGoogle is in the limelight once again due to defamatory search results. The latest incident highlights the need for robust responsible AI go...
Read moreIn a landmark decision, a Hong Kong court has allowed a tycoon to sue Google for defamation over search results linking him with criminal ac...
Read moreIn a landmark decision, an Italian court has found Google guilty of defamation over an autocomplete search result. The case highlights the n...
Read moreIn a historic move, an Australian man has been granted permission to sue Google for defamation. The case stems from Google's refusal to remo...
Read moreIn a landmark decision, an Australian court has ruled that a man can sue Google for defamation. This case highlights the importance of respo...
Read moreA landmark decision by the Australian Federal Court allows a defamation case against Google to proceed, potentially setting a precedent for...
Read moreIn a landmark case, an Australian court has ruled that Google is liable for defamatory search results and autocomplete suggestions. The deci...
Read moreA Japanese court has handed down a decision in favor of the plaintiff, ruling that Google Inc. is liable for defamatory search results gener...
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.