認知バイアスは,シミュレートされた顔認識検索における知覚と意思決定に影響します

Cecelia K Stewart¹, Jeff Kukucka¹

¹Department of Psychology, Towson University, Towson, MD 21252, USA.

Behavioral sciences (Basel, Switzerland)

|August 28, 2025

まとめ

認知バイアスは犯罪捜査における顔認識技術 (FRT) の使用に影響します. 参加者はランダムな罪悪感を誘発する情報や高い信頼度に基づいて容疑者を誤って特定し保護措置の必要性を強調しました

科学分野:

認知心理学
法医科学
バイオメトリクス

背景:

認知のバイアスは法医学的なパターン分析の誤りにつながります
顔認識技術 (FRT) は刑事捜査でますます使用されています.
FRTの精度に対する認知バイアスの影響は完全に理解されていません.

研究の目的:

認知的バイアス,特に文脈的バイアスと自動化バイアスが,FRTを用いて正確な加害者識別を妨げているかどうかを調査する.
外部情報や信頼スコアがFRTベースの識別決定に影響を与えるかどうかを判断する.

主な方法:

149人の参加者が2つのFRTシミュレーションを完了しました.
参加者は犯人の探査画像と 3つの候補の顔を比較しました
候補者の顔はランダムに罪悪感を誘発する伝記情報やバイオメトリックの信頼性スコアとペアリングされました

主要な成果:

参加者は犯罪者を特定する確率が高く罪悪感を誘発する情報や高い信頼度で判断しました
これらのバイアスの詳細はランダムに割り当てられ,文脈と自動化バイアスの感受性を示しています.
誤った識別は候補者が罪悪感を誘発する情報と関連しているときに最も頻繁に起こりました

結論:

文脈や自動化のバイアスを含む認知バイアスは犯罪者を特定する際の顔認識技術の正確性に大きく影響します
この研究は,刑事司法におけるFRTアプリケーションにおける認知バイアスの影響を軽減するための手続き上の保護措置を実施する必要性を強調しています.
犯罪捜査の整合性を維持し,不正な身元確認を防止するために,FRTの公正な適用を確保することが極めて重要です.

キーワード:

オートメーションバイアス文脈的なバイアス顔が一致する法医学線形配列解封パターンの比較誤った有罪判決

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