70/100

Moderate evidence

Trace: a gain and a problemPublished recordBusinessThe Trace

Algorithmic Provenance: When and Why Consumers Discount Products Made With AI ‐Involved Processes

Truvace record
TRV-2026-2528raw data (JSON)
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v1Published
First published
Evidence type
Controlled or validated comparison
Sources
1 sourcePeer-reviewed
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5fd9a4bb0cf9…check it

ABSTRACT Firms increasingly incorporate generative and non‐generative artificial intelligence (AI) into product design, formulation, and production, and they face a disclosure question: how should they describe the role of AI to consumers? Across six studies, including analysis of 1800 marketplace listings and five pre‐registered experiments (total experimental N = 2760), we introduce and test a 2‐by‐2 framework of algorithmic provenance defined by the AI's role (agentic vs. assistive) and its visibility in the…

54Gain side

How the two sides scoreClose call

55Problem side

The gain

In pre-registered experiments, framing a product's origin around human creative intent cut the penalty for AI-as-designer products by about half.

The problem

In six studies including five experiments with 2,760 participants, products described as designed by AI rated lower on attitude, quality, purchase intent and willingness to pay than products where AI assisted a human designer.

A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.

What the scores mean

G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.

P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.

What this doesn’t fix

The mitigation narrowed the agentic penalty by approximately half rather than eliminating it, and the effects were only partially mediated by perceived authenticity.

Sources

1 on file
  1. Peer-reviewed2026-10-16

Cite this record

v1

Truvace Impact Record TRV-2026-2528, v1: “Algorithmic Provenance: When and Why Consumers Discount Products Made With AI ‐Involved Processes.” Truvace, 2026-11-12. /record/TRV-2026-2528 (accessed on the day you copy it). sha256 5fd9a4bb0cf9605c…

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  1. Publishedv15fd9a4bb0cf9…

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