{
  "id": 5853,
  "url": "https://arxiv.org/abs/2604.13348v1",
  "title": "Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI",
  "summary": "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",
  "authors": "Tanmay Srivastava, Amartya Basu, Shubham Jain, Vaishnavi Ranganathan",
  "category": "research",
  "topics": "privacy-surveillance,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-14T23:18:06.000Z",
  "fetched_at": "2026-07-14T16:32:02.062Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5853",
  "original_url": "https://arxiv.org/abs/2604.13348v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}