Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI
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arXiv:2604.13348v1 Announce Type: cross Abstract: 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 verificatio
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Computer Science > Artificial Intelligence
[Submitted on 14 Apr 2026]
Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI
Tanmay Srivastava, Amartya Basu, Shubham Jain, Vaishnavi Ranganathan
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 missing context but preserves privacy. We demonstrate that CONCORD can safely recover necessary context through (1) spatio-temporal context resolution, (2) information gap detection, and (3) minimal A2A queries governed by a relationship-aware disclosure. Instead of hallucination-prone inferring, CONCORD treats context recovery as a negotiated safe exchange between assistants. Across a multi-domain dialogue dataset, CONCORD achieves 91.4% recall in gap detection, 96% relationship classification accuracy, and 97% true negative rate in privacy-sensitive disclosure decisions. By reframing always-listening AI as a coordination problem between privacy-preserving agents, CONCORD offers a practical path toward socially deployable proactive conversational agents.
Subjects: Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
Cite as: arXiv:2604.13348 [cs.AI]
(or arXiv:2604.13348v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2604.13348
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From: Tanmay Srivastava [view email]
[v1] Tue, 14 Apr 2026 23:18:06 UTC (129 KB)
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