Source record

Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.17099.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

The paper examines the use of LLM-based synthetic agents as substitutes for human participants in research and institutional processes such as policy consultation, jury deliberation, and diplomacy. Applying a Participatory Design lens, it identifies ethical and representational risks and proposes soft and hard boundaries for oversight.

Useful counterweight to the rush of synthetic-participant studies; the proposed boundary framework offers a starting checklist for researchers and reviewers evaluating AI agents in representational roles.

Cited by

No citations on record.