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Only if I had clearly agreed to what it could use, what it could say, and who could access it—and if my family could stop using it. There is no evidence-based yes or no for everyone. The decision belongs to both the person being represented and the people who may interact with the simulation.
First, decide what “an AI version” means
Posthumous AI is not one kind of product. The 2024 article in Philosophy & Technology uses “deadbot” for an AI-enabled digital representation of a deceased person made through a re-creation service. That label can cover systems with very different relationships to the person’s original words and images.
| Format | What the interaction draws on | Examples described by the Associated Press in June 2024 |
|---|---|---|
| Interactive recording archive | Recorded answers are selected in response to a question; the system is not necessarily inventing a new reply. | StoryFile was described as matching questions to prerecorded video answers. |
| Life-story avatar | A representation is built from answers or stories supplied by the person. | HereAfter AI was described as an avatar based on a person’s answers or stories. |
| Generative text conversation | The system generates new text in response to prompts, rather than simply replaying a recorded answer. | Project December was described as a generated text conversation. |
These are descriptions from AP’s 2024 report, not a statement about the services’ current features. The distinction matters: a recorded answer is something a person actually said; generated output is not proof that the person would have said those words. Neither format is literally the person, and calling either a “copy” can obscure that difference.
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There are also services designed for people to prepare a digital legacy while alive. For example, Afterlife AI’s FAQ says the company does not reconstruct deceased people from data supplied after death. That is the vendor’s description of its own service, not independent verification; check current terms and practices before relying on it.
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Would talking to one help with grief?
That is possible for some people, but the available evidence does not establish that these systems heal grief, make it worse, or replace grieving. The Associated Press reported in June 2024 that Cambridge researcher Katarzyna Nowaczyk-Basinska saw little evidence about short- and long-term effects at scale. She called the field “a vast techno-cultural experiment.”
A 2025 qualitative study by Ying Lei, Shuai Ma, Yuling Sun and Xiaojuan Ma explored perceptions, expectations and concerns about AI afterlife digital legacies. It involved 18 participants, primarily from a Chinese cultural context. It can help illuminate what people may expect or worry about, but it is not a representative estimate of public opinion or a clinical trial. Individual accounts of comfort or distress should be understood as individual experiences, not a reliable prediction of what a grieving family will feel.
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A simulation may feel meaningful to one relative and intrusive or unsettling to another. It may also change how a person remembers the deceased if generated replies are mistaken for authentic memories or views. Those are ethical concerns discussed in scholarship on posthumous AI, not measured rates of harm.
Could your family make one if you never agreed?
Having access to someone’s messages, photographs or recordings does not, by itself, show that the person wanted an interactive AI made from them. The person represented and the people who might use the system are separate stakeholders, and their interests can differ. The 2024 Philosophy & Technology article highlights the need to consider both.
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There is no single legal rule established here that applies to posthumous data and likeness everywhere. Rights and permissions can depend on jurisdiction, the material involved and the service’s terms. Ethically, however, a family’s ability to access data is not the same as the person’s consent to have a system generate new speech or sustain an ongoing simulation. If you do not want that, saying so clearly while alive gives relatives less room to guess.
What would make keeping one acceptable?
If you are considering this for yourself, treat it as a bounded decision about a representation—not as a way to preserve your whole identity. You can choose a static archive instead, or decide that no posthumous simulation should be created.
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- Permission and source material: Specify whether the system may use recordings, stories, messages, photographs or other data, and name anything that must remain private. Permission to use one type of material need not imply permission to use everything.
- Replay or generation: Decide whether it may only retrieve recorded answers or may generate new words in your voice or style. If it generates, make clear that those replies were created by AI rather than spoken by you.
- Access: Name who may interact with it and whether those people can invite others. A family archive and an open-ended service have different audiences.
- Contact and timing: Decide whether the system may initiate messages, reminders or other contact. The scholarly discussion raises unsolicited notifications as a possible concern; that scenario does not establish how often such contact occurs.
- Disclosure: Require clear, ongoing notice that the user is interacting with a simulation, especially if the system generates responses.
- Control and continuity: Decide who can pause or end access, what happens if relatives disagree, and what should happen if the service changes or closes. Ask how deletion works and whether copies or derived data may remain.
These are practical questions drawn from the ethical issues raised in the scholarship, not a clinical protocol or legal checklist. A service’s answers should be specific enough for someone else to carry out your wishes.
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- Write down your boundary. Choose among no simulation, a static archive, an interactive archive of recorded answers, or a system allowed to generate new replies.
- Record the limits alongside it. State permitted data, intended users, disclosure requirements, whether contact is allowed, and who may pause or end access.
- Ask likely users what they want. A person may want to preserve recordings but not converse with an avatar. Do not assume that every relative will want the same kind of access.
- Review the service, not just the idea. Check its current data practices, access controls, deletion options and plan for shutdown. A broad promise of a “digital legacy” does not answer these operational questions.
- Leave room to change your mind. Tell the people responsible for your wishes how to update or withdraw them, and make the latest version easy to find.
When a family is deciding after a death, it can help to separate two questions: whether to preserve the person’s existing recordings and stories, and whether to create a system that responds as though speaking for them. Keeping an archive does not require turning it into a chatbot. If relatives disagree, a conservative option is to preserve the material without enabling generated interaction until the people affected have had time to consider it.
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What the evidence cannot settle
The evidence cited here does not establish a universal best practice for bereaved families, the clinical effects of using griefbots at scale, or one legal outcome that applies across jurisdictions. The 2024 scholarly article maps ethical concerns and design scenarios; it does not measure how frequently harms occur. AP’s report provides expert observations and descriptions of services, not clinical-trial results. The 2025 study offers qualitative insight within a culturally bounded participant group.
As Cambridge researcher Tomasz Hollanek told the Associated Press in June 2024: “These are very complicated questions. And we don’t have good answers yet.” For an individual or family, that uncertainty is a reason to make permissions, boundaries and the option to stop explicit—not a reason to treat an AI simulation as a dependable substitute for a person.
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