C013¶


Research	R0031 — Plural Voice Claims (Blind)
Run	2026-03-29
Claim	C013

Claim: Research presented at CHI 2025 (He et al.) found that AI receives less credit than humans for equivalent work.

BLUF: Confirmed. Jessica He, Stephanie Houde, and Justin D. Weisz (IBM Research) published "Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation" at CHI 2025. The study found that participants consistently assigned less authorship credit to AI partners than human partners for equivalent contributions across nearly all contribution types and amounts.

Probability: Almost certain (95-99%) | Confidence: High

Summary¶

Entity	Description
Claim Definition	Claim text, scope, status
Assessment	Full analytical product with reasoning chain
ACH Matrix	Evidence x hypotheses diagnosticity analysis
Self-Audit	ROBIS-adapted 5-domain audit

Hypotheses¶

ID	Hypothesis	Status
H1	Claim is accurate as stated	Supported
H2	Claim is partially correct	Eliminated
H3	Claim is materially wrong	Eliminated

Searches¶

ID	Target	Results	Selected
S01	He et al. CHI 2025 AI credit	10	2

Sources¶

Source	Description	Reliability	Relevance
SRC01	He et al. CHI 2025 paper	High	High