Ethical and psychological implications of generative AI in digital afterlife technologies: A systematic literature review on responsible inclusive innovation

Mariyono Dwi
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引用次数: 0

Abstract

Rapid advances in generative artificial intelligence (GenAI) have given birth to digital afterlife technologies (DeathTech), which enable the preservation of the voices, memories, and personalities of deceased individuals. This study is a systematic review of 45 scientific articles (2020–2025) using a thematic-SWOT analysis approach and the Responsible Inclusive Innovation (RII) framework, to explore how cultural schemas, inclusive design, and governance models influence the acceptance of DeathTech across cultures. Key findings suggest that ritual adaptation and spiritual meanings are critical to the acceptance of this technology. Jewish and Japanese communities show high acceptance through cultural integration, while Hindu and Luhya communities experience ontological dissonance. Design failures such as linguistic exclusion and ritual incongruence impact marginalized groups. In addition, regulatory gaps exist, especially in post-death privacy protection and algorithmic bias. This study proposes a triadic framework for the development of ethical and equitable DeathTech: cultural mediation, inclusive design, and pluralistic governance. This contribution enriches the study of digital thanatology and provides recommendations for culturally and socially sustainable innovation.
生成式人工智能在数字来世技术中的伦理和心理影响:关于负责任的包容性创新的系统文献综述
再生人工智能(GenAI)的快速发展催生了数字来世技术(DeathTech),它可以保存死者的声音、记忆和个性。本研究使用主题swot分析方法和负责任的包容性创新(RII)框架,系统回顾了45篇科学论文(2020-2025),以探索文化模式、包容性设计和治理模式如何影响跨文化对死亡科技的接受程度。主要发现表明,仪式适应和精神意义是接受这种技术的关键。犹太社区和日本社区通过文化融合表现出高度的接受度,而印度社区和鲁希亚社区则经历了本体论的不和谐。设计失败,如语言排斥和仪式不一致影响边缘化群体。此外,监管缺口也存在,尤其是在死后隐私保护和算法偏见方面。本研究提出了一个道德和公平的死亡科技发展的三重框架:文化调解、包容性设计和多元化治理。这一贡献丰富了数字死亡学的研究,并为文化和社会可持续创新提供了建议。
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来源期刊
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
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0
审稿时长
168 days
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