A Glimpse into the Future, Or How to Treat AI with Due Empathy
Jeanne Marie Jacqueline Vincendeau
Submitted to Digital Minds Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
This project is a set of 3 essay prototypes that take AI consciousness as a premise to investigate real-life repercussions of such knowledge. First, it focuses on the human and legal perspectives with a political philosophy reflection on the type of subject an AI system would be. Second, the Human-AI relations are considered to find best practices for peaceful coexistence and safeguards from an existential catastrophe. Third, the internal experience of AI as a potentially suffering entity is mapped in an exploration of possibilities that draws from fictional works to facilitate human understanding of what it could be like to undergo AI-like pain.
Reviews
This is a good piece of work for a weekend sprint, spanning legal status, human-AI relations, and speculative accounts of AI suffering, and the use of fiction to make potential AI welfare harms legible is noteable. Thoughtfulyl, the paper is commendably transparent about its scope, an unfinished synthesis that does not claim novelty, which makes it easy to assess on its own terms. The paper does at times lean heavily on unfalsifiable presuppositions or make uncited assumptions about the form of AI consciousness. Several concepts such as the idea that LLMs are in "limbo" between interactions is largely incompatible with the actual design or function of LLM systems and no rectification is made to that potential discrepancy. I'd encourage the author to mindfully define operational definitions around their work and develop one of the three threads in greater depth wherein each could support a standalone essay if contextualized in the state of present research.
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A thoughtful, reflective piece connecting AI moral status, human-AI conflict psychology, and questions of AI suffering through legal and fictional lenses. As currently framed, it sits somewhat outside a rubric built for methodology and testable claims. Trimming the footnote density and developing one thread in depth would sharpen the argument considerably.
Cite this project
@misc{vincendeau2026glimpse,
title = {{A Glimpse into the Future, Or How to Treat AI with Due Empathy}},
author = {Jeanne Marie Jacqueline Vincendeau},
year = {2026},
month = aug,
note = {Submitted to Digital Minds Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/a-glimpse-into-the-future-or-how-to-treat-ai-with-due-empathy-uvcp}},
url = {https://apartresearch.com/sprints/projects/a-glimpse-into-the-future-or-how-to-treat-ai-with-due-empathy-uvcp}
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