Human–AI collaboration
İnsan–YZ iş birliği
D6
Human–AI collaboration concerns human roles and responsibilities in Human-AI team configurations, together with feedback and opportunities to challenge AI output.
Review status: 2027-08-28
Technical explanation
It makes human roles, responsibilities, feedback, and the opportunity to challenge output explicit rather than treating the presence of both parties as collaboration.
Conceptual boundaries
It does not by itself establish effective performance or human control.
Provider-neutral example
In claims review, a system can prioritize documents, an analyst can inspect evidence and exceptions, and a supervisor can decide when to refer a contested case for senior review.
Limitations
The cited framework identifies a continuing research need on whether people are empowered and incentivized to challenge AI output.
Related concepts
Atomic claims and evidence
1.1NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D6 human and organizational slice
- Source
- NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D6 human and organizational slice
- Source role
- Authoritative source
- Exact locator
- Appendix C, printed p. 41
- Supported claim
- NIST refers to roles and responsibilities for humans in Human-AI team configurations and for people overseeing AI-system performance.
- Last verification
- Review due
- Scope limitation
- This framework language does not prescribe one collaboration pattern or establish that every mixed human-system workflow is effective.
2.1OECD, Using AI in the workplace: Opportunities, risks and policy responses
- Source
- OECD, Using AI in the workplace: Opportunities, risks and policy responses
- Source role
- Authoritative source
- Exact locator
- Abstract
- Supported claim
- OECD's workplace review reports both perceived workplace-performance benefits and concerns about work intensity, data use, and inequality associated with AI use.
- Last verification
- Review due
- Scope limitation
- These are reported survey and policy-review observations, not a finding that collaboration improves every worker's performance or well-being.
3.1NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D6 human and organizational slice
- Source
- NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0) — D6 human and organizational slice
- Source role
- Authoritative source
- Exact locator
- Appendix C, printed p. 41
- Supported claim
- NIST says Human-AI team configurations include roles and responsibilities for humans, mechanisms for explicit organizational decision making, feedback from affected communities, and further research on whether humans are empowered and incentivized to challenge AI output.
- Last verification
- Review due
- Scope limitation
- This is voluntary NIST framework guidance and a research need; it does not establish that a mixed workflow is effective or that people have actual control.