R0031/2026-03-29/C001 — Assessment

Research	R0031 — Plural Voice Claims (Blind)
Run	2026-03-29
Claim	C001

BLUF

All four sub-assertions in this claim are confirmed by primary sources from the study's publishers. The KPMG/University of Melbourne study surveyed exactly 48,340 people across 47 countries and found 46% global willingness to trust AI, with 39% in advanced economies and 57% in emerging economies.

Probability

Rating: Almost certain (95-99%)

Confidence in assessment: High

Confidence rationale: The claim cites specific statistics from a named study, and those statistics are confirmed verbatim by multiple official KPMG pages including the press release and regional insights pages. The only minor nuance is that the press release describes the economy breakdown as "two in five" vs "three in five" rather than exact percentages, but the Australia insights page provides the exact 39% and 57% figures.

Reasoning Chain

1. FACT: The KPMG/University of Melbourne "Trust, attitudes and use of Artificial Intelligence: A global study 2025" exists and was published in April 2025. [SRC01-E01, High reliability, High relevance]

2. FACT: The study surveyed 48,340 people across 47 countries between November 2024 and January 2025. [SRC02-E01, High reliability, High relevance]

3. FACT: Global willingness to trust AI was found to be 46%. [SRC01-E01, High reliability, High relevance]

4. FACT: Trust in advanced economies was 39%, trust in emerging economies was 57%. [SRC02-E01, High reliability, High relevance]

5. JUDGMENT: All four sub-assertions match the primary sources exactly. The claim is accurate as stated.

Evidence Base Summary

Source	Description	Reliability	Relevance	Key Finding
SRC01	KPMG International press release	High	High	46% global trust, 48,000+ respondents, 47 countries
SRC02	KPMG Australia insights page	High	High	39% advanced vs 57% emerging, 48,340 exact count

Collection Synthesis

Dimension	Assessment
Evidence quality	Robust — primary source pages from study publisher
Source agreement	High — figures consistent across all KPMG pages
Source independence	Derived — both sources are from the same organization (KPMG) presenting the same study, but this is expected since we are verifying a specific study's findings
Outliers	None

Detail

Both sources are official KPMG pages presenting findings from the same study. This is not a weakness — when verifying that a specific study reported specific numbers, the primary source is the most reliable evidence. No contradictory reporting was found in any search result.

Gaps

Missing Evidence	Impact on Assessment
Full PDF report not directly reviewed	Low — key statistics confirmed via HTML pages from the same publisher
Independent replication of the survey	Low — this is a survey verification, not a replication question

Researcher Bias Check

Declared biases: The researcher's pro-technology bias and plural voice advocacy could predispose them to accept favorable framing of AI trust surveys without scrutiny. However, this claim is purely statistical and the verification is straightforward.

Influence assessment: Minimal risk. The claim is a factual citation of specific numbers from a named source, leaving little room for interpretive bias.

Cross-References

Entity	ID	File
Hypotheses	H1, H2, H3	hypotheses/
Sources	SRC01, SRC02	sources/
ACH Matrix	—	ach-matrix.md
Self-Audit	—	self-audit.md