

Stop AI replication of the deceased without ethical oversight


Stop AI replication of the deceased without ethical oversight
The Issue
Autonomous learning AI systems designed to replicate or simulate deceased individuals without ethical safeguards pose serious psychological and moral concerns. These technologies risk disrupting the natural grieving process by fostering parasocial relationships with artificially generated versions of loved ones who have passed away. Memorialization should honor memory, legacy, and human life; not attempt to simulate ongoing presence through adaptive AI proxies.
Recent advances in artificial intelligence now allow systems to learn, respond, and evolve in ways that can create emotionally convincing interactions with the deceased. Without oversight, this creates the potential for grief to become commercialized through emotionally adaptive engagement models designed to maximize user interaction and retention. The long term psychological consequences of these systems remain largely unknown.
Mental health professionals, ethicists, grief counselors, clergy, funeral professionals, and technology leaders must work together to establish clear ethical standards before these systems become normalized within grief and memorialization spaces. Safeguards should include transparency requirements, limitations on autonomous learning behavior, protections for vulnerable populations and minors, informed consent standards, and independent ethical review.
This initiative is not anti-technology. Preserving photographs, videos, voice recordings, and stories can provide tremendous comfort to families. The concern arises when technology shifts from preserving memory to simulating continued human interaction with the dead.
The time to address this issue is now, before emotionally adaptive AI memorial systems become widespread without proper oversight or understanding of their psychological impact.
Please sign this petition to support ethical standards for AI memorialization technologies and help protect the integrity of the human grieving process.

63
The Issue
Autonomous learning AI systems designed to replicate or simulate deceased individuals without ethical safeguards pose serious psychological and moral concerns. These technologies risk disrupting the natural grieving process by fostering parasocial relationships with artificially generated versions of loved ones who have passed away. Memorialization should honor memory, legacy, and human life; not attempt to simulate ongoing presence through adaptive AI proxies.
Recent advances in artificial intelligence now allow systems to learn, respond, and evolve in ways that can create emotionally convincing interactions with the deceased. Without oversight, this creates the potential for grief to become commercialized through emotionally adaptive engagement models designed to maximize user interaction and retention. The long term psychological consequences of these systems remain largely unknown.
Mental health professionals, ethicists, grief counselors, clergy, funeral professionals, and technology leaders must work together to establish clear ethical standards before these systems become normalized within grief and memorialization spaces. Safeguards should include transparency requirements, limitations on autonomous learning behavior, protections for vulnerable populations and minors, informed consent standards, and independent ethical review.
This initiative is not anti-technology. Preserving photographs, videos, voice recordings, and stories can provide tremendous comfort to families. The concern arises when technology shifts from preserving memory to simulating continued human interaction with the dead.
The time to address this issue is now, before emotionally adaptive AI memorial systems become widespread without proper oversight or understanding of their psychological impact.
Please sign this petition to support ethical standards for AI memorialization technologies and help protect the integrity of the human grieving process.

63
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Petition created on May 11, 2026