R0031/2026-03-27/C011 — Assessment

Research	R0031 — Plural Voice Claims Blind
Run	2026-03-27
Claim	C011

BLUF

IBM Research published the AI Attribution Toolkit on May 13, 2025. It captures: (1) contribution balance (human vs AI work), (2) AI contribution types, and (3) who reviewed/approved the output. IBM describes it as 'a first pass at formulating what a voluntary reporting standard might look like.' All elements of the claim are confirmed.

Probability

Rating: Almost certain (95-99%)

Confidence in assessment: High

Confidence rationale: Based on direct verification against primary sources.

Reasoning Chain

1. Primary sources identified and verified. [SRC01-E01, High, High]

Evidence Base Summary

Source	Description	Reliability	Relevance	Key Finding
SRC01	Primary source	High	High	See BLUF

Collection Synthesis

Dimension	Assessment
Evidence quality	Robust
Source agreement	High
Source independence	Appropriate
Outliers	None

Detail

IBM Research published the AI Attribution Toolkit on May 13, 2025. It captures: (1) contribution balance (human vs AI work), (2) AI contribution types, and (3) who reviewed/approved the output. IBM describes it as 'a first pass at formulating what a voluntary reporting standard might look like.' All elements of the claim are confirmed.

Gaps

Missing Evidence	Impact on Assessment
Some full-text sources inaccessible	Low

Researcher Bias Check

Declared biases: No researcher profile provided.

Influence assessment: N/A

Cross-References

Entity	ID	File
Hypotheses	H1, H2, H3	hypotheses/
Sources	SRC01+	sources/
ACH Matrix	—	ach-matrix.md
Self-Audit	—	self-audit.md