CSETv0 分類法のクラス
分類法の詳細Problem Nature
Specification
Physical System
Software only
Level of Autonomy
Medium
Nature of End User
Amateur
Public Sector Deployment
No
Data Inputs
User entered translation requests
CSETv1 分類法のクラス
分類法の詳細Incident Number
59
AI Tangible Harm Level Notes
Although AI was implicated in the adverse outcome, this incident has no tangible harm.
Notes (special interest intangible harm)
The study found biases related to gender and age in Google Translate. Additional biases have been found in Natural Language Processing in general.
Special Interest Intangible Harm
yes
Risk Subdomain
1.1. Unfair discrimination and misrepresentation
Risk Domain
- Discrimination and Toxicity
Entity
AI
Timing
Post-deployment
Intent
Unintentional
インシデントレポート
レポートタイムライン
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In the Turkish language, there is one pronoun, “o,” that covers every kind of singular third person. Whether it’s a he, a she, or an it, it’s an “o.” That’s not the case in English. So when Google Translate goes from Turkish to English, it …
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Image via Twitter
Parents know one particular challenge of raising kids all too well: teaching them to do what we say, not what we do.
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Recently there has been a growing concern about machine bias, where trained statistical models grow to reflect controversial societal asymmetries, such as gender or racial bias. A significant number of AI tools have recently been suggested …
Google is making an effort to reduce perceived gender bias in Google Translate, it announced today. Starting this week, users who translate words and phrases in supported languages will get both feminine and masculine translations; “o bir d…
An experiment shows that Google Translate systematically changes the gender of translations when they do not fit with stereotypes. It is all because of English, Google says.
If you were to read a story about male and female historians trans…
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