Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI
We introduce CONCORD, a privacy-aware asynchronous assistant-to-assistant (A2A) framework that leverages collaboration between proactive speech-based AI. As agents evolve from reactive to always-listening assistants, they face a core privacy risk (of capturing non-consenting speakers), which makes their social deployment a challenge. To overcome this, we implement CONCORD, which enforces owner-only speech capture via real-time speaker verification, producing a one-sided transcript that incurs mi
Record details
Published: 14 April 2026
Source: arXiv
Category: Research
Topics: Privacy · Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (14 April 2026), “Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI,” evidence record 5853, https://ethics.ai/record/5853 (originally published by arXiv).
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