Description: Researchers at Stanford Graduate School of Business developed a model that determined, on a binary scale, whether someone was homosexual using only his facial image, which advocacy groups such as GLAAD and the Human Rights Campaign denounced as flawed science and threatening to LGBTQ folks.
推定: Michal Kosinski と Yilun Wangが開発し提供したAIシステムで、LGBTQ people , LGBTQ people of color と non-American LGBTQ peopleに影響を 与えた
インシデントのステータス
インシデントID
167
レポート数
1
インシデント発生日
2017-09-07
エディタ
Sean McGregor, Khoa Lam
GMF 分類法のクラス
分類法の詳細Known AI Goal
An AI Goal which is almost certainly pursued by the AI system referenced in the incident.
Behavioral Modeling
Known AI Technology
An AI Technology which is almost certainly a part of the implementation of the AI system referenced in the incident.
Neural Network
Potential AI Technology
An AI Method / Technology which probably is a part of the implementation of the AI system referenced in the incident.
Siamese Network, Convolutional Neural Network, Diverse Data
Known AI Technical Failure
An AI Technical Failure which almost certainly contributes to the AI system failure referenced in the incident.
Limited Dataset, Dataset Imbalance, Generalization Failure
Potential AI Technical Failure
An AI Technical Failure which probably contributes to the AI system failure referenced in the incident.
Incomplete Data Attribute Capture, Overfitting, Lack of Explainability
インシデントレポート
レポートタイムライン
nytimes.com · 2017
- 情報源として元のレポートを表示
- インターネットアーカイブでレポートを表示
Michal Kosinski felt he had good reason to teach a machine to detect sexual orientation.
An Israeli start-up had started hawking a service that predicted terrorist proclivities based on facial analysis. Chinese companies were developing fac…
バリアント
「バリアント」は既存のAIインシデントと同じ原因要素を共有し、同様な被害を引き起こし、同じ知的システムを含んだインシデントです。バリアントは完全に独立したインシデントとしてインデックスするのではなく、データベースに最初に投稿された同様なインシデントの元にインシデントのバリエーションとして一覧します。インシデントデータベースの他の投稿タイプとは違い、バリアントではインシデントデータベース以外の根拠のレポート は要求されません。詳細についてはこの研究論文を参照してください
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