The Algorithm That Helped Google Translate Become Sexist
An investigation into the biased algorithms that unintentionally caused Google Translate to produce sexist translations, highlighting the ne...
Read moreEvidence-based Transparent For governance
An investigation into the biased algorithms that unintentionally caused Google Translate to produce sexist translations, highlighting the ne...
Read moreIn this article, we delve into the concept of responsible AI and its importance, focusing on a case study involving Google Translate. Our an...
Read moreA groundbreaking study has shed light on the alarming issue of racial and gender biases within AI systems. The research, conducted by renown...
Read moreArtificial Intelligence (AI) systems, designed to learn from human interactions, can unintentionally mirror inherent biases. This incident h...
Read moreA recent investigation uncovered potential gender bias in Google Translate, with the platform pairing male pronouns with positive connotatio...
Read moreGoogle's multilingual service, Google Translate, has recently updated its platform to offer gender-specific translations for select language...
Read moreExplore a concerning trend: AI systems absorbing societal biases, often reflecting discriminatory practices against race and gender. The imp...
Read moreIn response to public outcry over allegations of racism, the popular photo-editing app FaceApp has removed its latest filters that darkened...
Read moreFaceApp, a popular photo editing app, temporarily allowed users to change their skin color. This feature raises concerns about responsible A...
Read moreRecent updates to the popular mobile app FaceApp have sparked controversy due to its new 'change-your-race' filters. The filters, available...
Read moreFollowing allegations of racial bias in its 'Spark' filter, the popular photo-editing app FaceApp has decided to remove the feature. The fil...
Read moreThe popular photo-editing app, FaceApp, is under fire for its AI's bias towards lightening the skin tones of images of Black users. The inci...
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.