LN: Li et al. (2026) — HAIF: A Human-AI Integration Framework for Hybrid Team Operations
Bibliographic Reference
Citation: Li, W., Zhang, R., Chen, J., & Wang, H. (2026). HAIF: A human-AI integration framework for hybrid team operations. arXiv:2602.07641. https://arxiv.org/abs/2602.07641 (This paper is in the PUMA project knowledge PDFs as “HAIF_A_Human–AI_Integration_Framework_for_Hybrid_Team_Operations_2602.07641v1.pdf”)
Pass 1 — Bird’s Eye View (5 Cs)
| C | Assessment |
|---|---|
| Category | Framework proposal |
| Context | Addresses the organisational design of teams where humans and AI agents collaborate |
| Correctness | Conceptual framework with case studies. |
| Contributions | (1) HAIF framework: roles, responsibilities, and authority levels for human-AI teams; (2) Governance model for delegating decisions to agents; (3) Escalation protocols when agents fail |
| Clarity | Good. |
Relevance: ⭐⭐⭐⭐
HAIF’s governance model directly supports PUMA’s HITL principle and bounded autonomy design. Relevant for Section 1.3 (ethical-social impact) and Stage 5 governance layer.
PUMA Connection
HAIF provides the governance vocabulary for PUMA’s Stage 5: what decisions can agents make autonomously, what requires human approval, and how to escalate failures. Supports PUMA Constitution Articles 4 (HITL) and 5 (open source).