青山学院大学図書館
ログイン
  • 目録検索 目録検索 ▼
  • 利用者サービス MyLibrary（利用者サービス）▼
    • 利用状況の確認
    • ブックマーク
    • お気に入り検索
    • 新着アラート
    • ILL複写依頼（他機関への文献複写依頼）
    • ILL貸借依頼（他機関への文献貸借依頼）
    • 新規購入依頼
    • 論文登録
    • オリエンテーション予約（教員）
    • オンライン施設予約

青山学院大学図書館

Harnessing Artificial Intelligence (AI) to Overcome Cognitive Bias and Bounded Rationality : Advancing Human Resource Management through Co-evolution

中川, 有紀子, Issued : 2026.03, Aoyama business review <TF02140998>
登録タグ：
登録されているタグはありません
便利機能：
レビューを見る 詳細情報を見る
書誌URL：

Harnessing Artificial Intelligence (AI) to Overcome Cognitive Bias and Bounded Rationality : Advancing Human Resource Management through Co-evolution

中川, 有紀子, Issued : 2026.03, Aoyama business review <TF02140998>
登録タグ：
登録されているタグはありません
便利機能：
レビューを見る 詳細情報を見る
書誌URL：

本文ファイルへのリンク
tf02140998-1-11.pdf        ファイルを参照する
このページのTOPへ

書誌詳細

コレクションコード 紀要論文
コレクションコード Aoyama business review
コレクションコード 48
ソースレコードID AA00034278
タイトル Harnessing Artificial Intelligence (AI) to Overcome Cognitive Bias and Bounded Rationality : Advancing Human Resource Management through Co-evolution
作成者 中川, 有紀子
ナカガワ, ユキコ
Nakagawa, Yukiko
出版者 Aoyama Institute of Global Business, Aoyama Gakuin University
NCID AA00034278
ISSN(プリント) 03880052
DOI URL https://doi.org/10.34321/TF02140998
収録物名 Aoyama business review
巻次等 48
開始ページ 1
終了ページ 11
日付 Issued : 2026.03
主題 Other-en:Cognitive Bias
主題 Other-en:Bounded Rationality
主題 Other-en:Artificial Intelligence
主題 Other-en:Human Resource Management
主題 Other-en:Dual Dynamics
内容記述 This study examines how human-AI (Artificial Intelligence) collaboration can address the challenges posed by cognitive biases and bounded rationality in Human Resource Management (HRM). In today's complex environment, human judgment is influenced by factors such as cognitive bias (systematic errors in thinking)and bounded rationality, which is the tendency to make satisfactory rather than optimal decisions due to cognitive limitations. These issues can compromise the fairness and efficiency of HRM processes such as recruitment and performance evaluation. AI offers a solution by enabling objective, data-driven decision-making. However, AI systems can also reinforce biases present in their training data. The paper proposes a framework of "dual dynamics" where AI acts as a cognitive partner, not just a tool, to enhance human judgment by identifying bias patterns and simulating alternative scenarios. This approach integrates AI's analytical power with human empathy and ethical reasoning to foster more equitable and rational decision-making. Case studies in human resources analytics illustrate this partnership. In recruitment, companies like SoftBank and Unilever use AI to reduce bias and increase efficiency in tasks such as resume screening and video interviews, while human oversight remains for final decisions. In talent development, Coca-Cola uses AI to recommend career paths and learning opportunities, helping employees navigate complex decisions. The paper concludes that AI's transformative potential in HRM hinges on the co-evolution of humans and AI, with each leveraging the other's strengths and offsetting their respective weaknesses. Future research should explore ways to improve AI's understanding of emotional cues and to strengthen human trust in AI-driven decision-making.
資源タイプ departmental bulletin paper
資料種別(NIIタイプ) 紀要論文
物理的形態 PDFファイル
アクセス権 open access
このページのTOPへ
このページのTOPへ

  • 関連情報

    他の検索サイトで探す

    この書誌のQRコード