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Research direction

Human-AI Collaboration

Research direction for assistive workflows, human-in-the-loop approval, human-on-the-loop supervision, and correction.

StageresearchPublicationapproved

Focus areas

What this research explores

  • Role-aware collaboration
  • Approval and escalation design
  • Confidence, provenance, and correction
  • Operator experience for bounded autonomy

Questions

What remains open

  • How should a person understand a proposal without receiving hidden reasoning?
  • When should a workflow pause, escalate, or ask for clarification?
  • How can correction become a governed learning signal?

Methods

Evidence before claims

  • User journey and interaction review
  • Accessible prototype evaluation
  • Failure-case and escalation walkthroughs

Boundaries

What this page does not claim

  • Ask COGNI on the public site remains a non-executing local shell.
  • No autonomous decision authority is claimed.
  • Research content is not a substitute for domain policy.

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