Dead Men Tell No Tales: Assessing Post-Mortem Data Protection in GenAI Chatbots

Fuente: arXiv
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Autori principali: Van Kempen, Elina, Jarin, Ismat, Georgiou, Chloe
Natura: Preprint
Pubblicazione: 2025
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author Van Kempen, Elina
Jarin, Ismat
Georgiou, Chloe
author_facet Van Kempen, Elina
Jarin, Ismat
Georgiou, Chloe
contents Generative AI (GenAI) systems and chatbots rely on vast corpora of consumer data. The use of such data for training GenAI has raised concerns around data ownership, copyright issues, and potential harm to consumers. In this work, we explore a related but less examined angle: the ownership and privacy of data originating from deceased individuals. We propose three post mortem data management principles to guide the protection of deceased individual's data, and analyze popular GenAI chatbots policies and answers to legacy requests. We plan to systematically audit consumer GenAI chatbots on their behavior regarding post-mortem data management
format Preprint
id arxiv_https___arxiv_org_abs_2509_07375
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dead Men Tell No Tales: Assessing Post-Mortem Data Protection in GenAI Chatbots
Van Kempen, Elina
Jarin, Ismat
Georgiou, Chloe
Computers and Society
Generative AI (GenAI) systems and chatbots rely on vast corpora of consumer data. The use of such data for training GenAI has raised concerns around data ownership, copyright issues, and potential harm to consumers. In this work, we explore a related but less examined angle: the ownership and privacy of data originating from deceased individuals. We propose three post mortem data management principles to guide the protection of deceased individual's data, and analyze popular GenAI chatbots policies and answers to legacy requests. We plan to systematically audit consumer GenAI chatbots on their behavior regarding post-mortem data management
title Dead Men Tell No Tales: Assessing Post-Mortem Data Protection in GenAI Chatbots
topic Computers and Society
url https://arxiv.org/abs/2509.07375