Description: State Farm's automated claims processing method was alleged in a class action lawsuit to have disproportionately against Black policyholders when paying out insurance claims.
推定: State Farmが開発し提供したAIシステムで、Black State Farm customersに影響を与えた
インシデントのステータス
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
1.1. Unfair discrimination and misrepresentation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Discrimination and Toxicity
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
インシデントレポート
レポートタイムライン
Jacqueline Huskey, a Black woman living in suburban Illinois, tried more than a dozen times to get help from State Farm after a hailstorm punched holes in her roof. Now, thanks to a broad study of how the insurer handles claims like hers, s…
CHICAGO (CN) — Black home insurance policyholders brought a federal class action against State Farm on Wednesday morning, alleging the multibillion-dollar company subjects their claims to greater scrutiny than it does those of white clients…
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