Concern 783 · Working draft · editorial review in progress
Digital resurrection of the dead
Digital resurrection is the creation of an AI simulation of a deceased person, raising questions about permission, dignity and what the simulation claims to represent.
Understanding the concern
A model can imitate a voice or draw on messages to produce new replies. Those replies are generated predictions, not newly discovered thoughts of the person who died. Relatives may disagree about whether the imitation is appropriate, and the person whose identity is used may never have consented.
Ethical research on digital afterlife services emphasizes consent, transparency and ways to end the service. These are proposals for responsible practice, not proof that every simulation harms bereaved people. Think of an interactive portrait that can speak beyond the original record. Its limits need to remain clear, especially when it makes statements the person never made.
An example
A service generates a deceased relative's apparent opinion on a new family dispute.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
Evidence and its limits
The source develops ethical analysis through scenarios. It does not show that an AI replica has the deceased person's awareness or establish a universal grief outcome.
Hollanek and Nowaczyk-Basinska · Philosophy & Technology 2024 · Ethical analysis
Griefbots, Deadbots, Postmortem Avatars: On Responsible Applications of Generative AI in the Digital Afterlife Industry ↗ (opens in a new tab)Scenario-based analysis of consent, transparency and retirement; not a clinical trial of grief outcomes.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Who has permission to create this simulation, and how will users know where the authentic record ends?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Unity
Unity means working toward shared purposes while making room for real differences. It does not require everyone to have the same experience, beliefs, or opinion.
Look for a goal people can share, then explore disagreements about how to reach it. Make sure quieter or less powerful voices can influence the result.
Ask together: What purpose can we share while respecting our differences?
Listening
Listening means trying to understand someone's experience before preparing an answer. People who use a service, work with it, or are judged by it may notice problems its designers miss.
Invite people to describe what happened in their own words. Repeat back what you understood and let them correct it. A quiet person or a complaint that is hard to measure may still reveal something important.
Ask together: Whose experience have we not heard yet?
Dignity
Dignity means recognizing each person's worth regardless of usefulness, status, or a system's score. People deserve respect and a voice in matters that affect them.
Explain important decisions, avoid humiliating treatment, and keep room for a person's story. Do not treat a prediction as a complete account of who someone is.
Ask together: Does this use treat each person as someone whose experience matters?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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