人工的な継続的結合: 臨床的タナトロジーにおける生成AIの責任ある統合のための提案された枠組み
Alexander Manevich1,2, Shani Aluma3
1Department of Clinical Psychology of Adulthood and Aging, Ruppin Academic Center, Kfar Monash, Hefer Valley, Israel.
Omega
|August 25, 2025
まとめ
創発性人工知能 (GenAI) は,タナトロジーの可能性を秘めていますが,倫理的な懸念と限られた研究は,悲しみの実践に責任ある統合のための枠組みを必要とします.
科学分野:
- デジタル・ヘルス
- 人工知能
- タナトロジー
背景:
- 人工知能 (GenAI) は,精神保健の分野でますます使用されています.
- デスボット
- 喪中の人のための デジタルシミュレーション
- これらの技術は 倫理的・実用的な課題とともに 治療上の利点ももたらします
- 学術的な関心が高まっているにも関わらず,経験的研究は稀であり,この分野には凝固した知識基盤がない.
研究 の 目的:
- タナトロジーにおけるGenAIの統合を調査する.
- 悲しみに関連する実践におけるGenAIの倫理的,社会的,および臨床的影響を検討する.
- この分野におけるGenAIの責任ある利用の枠組みを提案する.
主な方法:
- GenAIとタナトロジーの現在の発展と主要な議論の文献レビュー.
- 倫理的,社会的,臨床的な考慮の分析
- 責任ある統合のための予備的な枠組みの構築
主要な成果:
- チャットボットや デスボットのような GenAI アプリケーションが メンタルヘルスや 悲しみのサポートに登場しています
- これらの技術の治療的可能性には 重要な倫理的・実践的な課題が伴います
- 経験的研究の不足と統合された知識の欠如は,この分野の現在の状態を特徴づけています.
結論:
- 構造化された枠組みは,タナトロジーにおけるGenAIの責任ある統合に不可欠です.
- 提案された枠組みは4つの柱を強調しています. 倫理的/規制上の監督,理論的基礎,経験的調査,臨床実践です.
- 悲しみと終末期のケアにおけるGenAIの複雑さを把握するためにさらなる研究と倫理的ガイドラインが必要です.
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