R0029/2026-03-27/Q001
Query: Has anyone proposed a mechanism, standard, or framework for attributing AI contributions to collaborative human-AI work? Look at academic institutions, publishers, professional organizations, and standards bodies for formal proposals, guidelines, or emerging norms.
BLUF: Multiple structured proposals exist — including the IBM AI Attribution Toolkit (May 2025), the AIA icon system (Avery et al., 2024), and CHI 2025 research on attribution perceptions — but no standards body has adopted an AI-specific attribution standard. The field is in an active proposal phase, pre-standardization. The existing CRediT taxonomy (NISO) covers human contributors only.
Answer: H3 (Emerging but pre-standard) · Confidence: Medium
Summary
| Entity |
Description |
| Query Definition |
Question as received, clarified, ambiguities, sub-questions |
| Assessment |
Full analytical product |
| ACH Matrix |
Evidence × hypotheses diagnosticity analysis |
| Self-Audit |
ROBIS-adapted 4-domain process audit |
Hypotheses
| ID |
Statement |
Status |
| H1 |
Multiple formal frameworks exist |
Partially supported |
| H2 |
Only ad hoc disclosure norms exist |
Eliminated |
| H3 |
Emerging but pre-standard |
Supported |
Key Frameworks Identified
| Framework |
Proposer |
Year |
Type |
Status |
| AI Attribution Toolkit |
IBM Research (He, Weisz, Houde) |
2025 |
Working questionnaire tool |
Experimental / "first pass" |
| AIA Icon System |
Avery, Abril & del Riego |
2024 |
Visual icon system |
Law review proposal |
| CHI 2025 Research |
He et al. / IBM |
2025 |
Empirical attribution research |
Published findings |
| CRediT Taxonomy |
NISO/CASRAI |
2022 |
14-role contributor taxonomy |
Adopted standard (human-only) |
Searches
| ID |
Target |
Type |
Outcome |
| S01 |
Attribution frameworks and standards |
WebSearch |
3 selected, 7 rejected |
| S02 |
IBM toolkit and CHI research |
WebSearch |
1 selected, 9 rejected |
Sources
Revisit Triggers
- NISO or ISO announces an AI-specific extension to CRediT
- Any publisher adopts a structured attribution framework beyond binary disclosure
- IBM toolkit or AIA system achieves measurable adoption (>100 institutional users)