The Making of Digital Ghosts: Designing Ethical AI Afterlives
- URL: http://arxiv.org/abs/2511.20094v1
- Date: Tue, 25 Nov 2025 09:10:03 GMT
- Title: The Making of Digital Ghosts: Designing Ethical AI Afterlives
- Authors: Giovanni Spitale, Federico Germani,
- Abstract summary: We offer a conceptual and ethical analysis of AI-mediated digital afterlives.<n>We identify core ethical tensions around grief and well-being, truthfulness and deception, consent and posthumous privacy, dignity and misrepresentation.<n>We argue for targeted regulation and professional guidelines to ensure that digital ghosts can aid remembrance without slipping into forms of deception.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-sa/4.0/
- Abstract: Advances in artificial intelligence now make it possible to simulate the dead through chatbots, voice clones, and video avatars trained on a person's digital traces. These "digital ghosts" are moving from fiction to commercial reality, reshaping how people mourn and remember. This paper offers a conceptual and ethical analysis of AI-mediated digital afterlives. We define what counts as a digital ghost, trace their rise across personal, commercial, and institutional contexts, and identify core ethical tensions around grief and well-being, truthfulness and deception, consent and posthumous privacy, dignity and misrepresentation, and the commercialization of mourning. To analyze these challenges, we propose a nine-dimensional taxonomy of digital afterlife technologies and, building on it, outline the features of an ethically acceptable digital ghost: premortem intent, mutual consent, transparent and limited data use, clear disclosure, restricted purposes and access, family or estate stewardship, and minimal behavioral agency. We argue for targeted regulation and professional guidelines to ensure that digital ghosts can aid remembrance without slipping into forms of deception.
Related papers
- Privacy-Aware Camera 2.0 Technical Report [48.075034699787004]
Existing privacy-preserving approaches, including physical desensitization, encryption, and obfuscation, often compromise semantic understanding.<n>This paper proposes a novel privacy-preserving perception framework based on the AI Flow paradigm and a collaborative edge-cloud architecture.
arXiv Detail & Related papers (2026-03-05T03:46:20Z) - The history of digital ethics [0.0]
Digital ethics is now a lively field that draws a lot of attention.<n>What are the traditions, the concerns, the technological and social developments that pushed digital ethics?<n>How did ethical issues change with digitalisation of human life?
arXiv Detail & Related papers (2025-08-13T15:04:27Z) - Digital Dybbuks and Virtual Golems: The Ethics of Digital Duplicates in Holocaust Testimony [0.0]
We review the historical and contemporary uses of survivor testimonies and apply the Minimally Viable Permissibility Principle (MVPP)<n>The MVPP is an analytical framework for evaluating the risks of digital duplicates. It includes five core components: the need for authentic presence, consent, positive value, transparency, and harm-risk mitigation.
arXiv Detail & Related papers (2025-03-03T10:05:36Z) - Digital Doppelgangers: Ethical and Societal Implications of Pre-Mortem AI Clones [0.0]
generative AI has enabled the creation of pre-mortem digital twins, AI-driven replicas that mimic the behavior, personality, and knowledge of living individuals.<n>These digital doppelgangers serve various functions, including enhancing productivity, enabling creative collaboration, and preserving personal legacies.<n>However, their development raises critical ethical, legal, and societal concerns.
arXiv Detail & Related papers (2025-02-28T17:18:38Z) - Digital Life Project: Autonomous 3D Characters with Social Intelligence [86.2845109451914]
Digital Life Project is a framework utilizing language as the universal medium to build autonomous 3D characters.
Our framework comprises two primary components: SocioMind and MoMat-MoGen.
arXiv Detail & Related papers (2023-12-07T18:58:59Z) - A No-Reference Quality Assessment Method for Digital Human Head [56.17852258306602]
We develop a novel no-reference (NR) method based on Transformer to deal with digital human quality assessment (DHQA)
Specifically, the front 2D projections of the digital humans are rendered as inputs and the vision transformer (ViT) is employed for the feature extraction.
Then we design a multi-task module to jointly classify the distortion types and predict the perceptual quality levels of digital humans.
arXiv Detail & Related papers (2023-10-25T16:01:05Z) - The Age of Synthetic Realities: Challenges and Opportunities [85.058932103181]
We highlight the crucial need for the development of forensic techniques capable of identifying harmful synthetic creations and distinguishing them from reality.
Our focus extends to various forms of media, such as images, videos, audio, and text, as we examine how synthetic realities are crafted and explore approaches to detecting these malicious creations.
This study is of paramount importance due to the rapid progress of AI generative techniques and their impact on the fundamental principles of Forensic Science.
arXiv Detail & Related papers (2023-06-09T15:55:10Z) - Deep Person Generation: A Survey from the Perspective of Face, Pose and
Cloth Synthesis [55.72674354651122]
We first summarize the scope of person generation, then systematically review recent progress and technical trends in deep person generation.
More than two hundred papers are covered for a thorough overview, and the milestone works are highlighted to witness the major technical breakthrough.
We hope this survey could shed some light on the future prospects of deep person generation, and provide a helpful foundation for full applications towards digital human.
arXiv Detail & Related papers (2021-09-05T14:15:24Z) - Learning-based pose edition for efficient and interactive design [55.41644538483948]
In computer-aided animation artists define the key poses of a character by manipulating its skeletons.
Character pose must respect many ill-defined constraints, and so the resulting realism greatly depends on the animator's skill and knowledge.
We describe an efficient tool for pose design, allowing users to intuitively manipulate a pose to create character animations.
arXiv Detail & Related papers (2021-07-01T12:15:02Z) - Scientific Relevance and Future of Digital Immortality and Virtual
Humans [0.0]
We are on the threshold of a significant change in the way we view digital life, which will have a major effect on the physical world.
Computers have increasingly emulated deceased human beings through growing awareness in the fields of artificial intelligence, big data, and machine learning.
This article attempts to explain and challenge the ways in which digital immortality, in particular, has manifested itself.
arXiv Detail & Related papers (2021-01-09T22:11:16Z) - Digital me ontology and ethics [0.8223798883838329]
We define digital me as autonomous, decision-making, and learning agent, representing an individual and having practically immortal own life.
We discuss the implications of digital me metaethics, normative and applied ethics, the implementation of the Golden Rule in digital me-s, and we suggest two sets of normative principles for digital me.
arXiv Detail & Related papers (2020-12-22T09:54:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.