災害管理における構造化されたAIの意思決定
Julian Gerald Dcruz1, Argyrios Zolotas2, Niall Ross Greenwood3
1Faculty of Engineering and Applied Sciences, Cranfield University, Bedford, UK. juliangeralddcruz@outlook.com.
Scientific reports
|September 1, 2025
まとめ
新しい構造化された意思決定の枠組みは,災害管理のような安全を重視する分野における人工知能 (AI) の信頼性を高めます. この責任あるAIアプローチは 判断に基づくシステムや人間操作者と比べると 意思決定の正確性と安定性を向上させます
科学分野:
- 人工知能
- コンピュータ科学
- 人工知能の倫理
背景:
- 人工知能は安全を重視する分野で 自律的な意思決定に使用されつつあります
- 人命が危機に瀕している AI の信頼性には 倫理的な考慮が不可欠です
- 災害管理には 堅実で正当なAIによる意思決定が必要です
研究 の 目的:
- 責任あるAIのための構造化された意思決定の枠組みを提案する.
- この枠組みを自律的な災害管理で実施し評価する.
- 重要な状況におけるAI決定の信頼性と正当性を高める.
主な方法:
- 構成された意思決定の枠組みの構築,有効化エージェント,レベル,シナリオを組み込む.
- 自律的な災害管理の枠組みの実施
- 判断に基づくシステムと経験豊富な人間の操作者との比較性能評価
主要な成果:
- 判断に基づくシステムと比較して,構造化された意思決定フレームワークは,正確な決定において60.94%の安定性を示しました.
- フレームワークは様々なシナリオで人間の操作者を38.93%上回りました.
- 複数のシナリオで一貫した信頼性の高い意思決定が観察されました.
結論:
- 提案された構造化された意思決定の枠組みは,責任あるAIに向けた基本的ステップです.
- このフレームワークは,安全を重視する文脈で自律的なAIアプリケーションを強化するための大きな希望を示しています.
- このアプローチは,災害管理における AI による意思決定に より信頼性があり,正当な代替手段を提供します.
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