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R0029/2026-03-27/Q001/SRC03

Research R0029 — Plural Voice Attribution
Run 2026-03-27
Query Q001
Search S01
Result S01-R02
Source SRC03

Avery, Abril & del Riego — AIA Icon System for AI Authorship Disclosure

Source

Field Value
Title Attributing AI Authorship: Towards a System of Icons for Legal and Ethical Disclosure
Publisher Northwestern Journal of Technology and Intellectual Property, Vol. 22, Iss. 1
Author(s) Joseph J. Avery, Patricia Sanchez Abril, Alissa del Riego
Date 2024
URL https://scholarlycommons.law.northwestern.edu/njtip/vol22/iss1/1/
Type Law review article

Summary

Dimension Rating
Reliability High
Relevance High
Bias: Missing data Low risk
Bias: Measurement N/A
Bias: Selective reporting Low risk
Bias: Randomization N/A — not an RCT
Bias: Protocol deviation N/A — not an RCT
Bias: COI/Funding Low risk

Rationale

Dimension Rationale
Reliability Published in a respected law review (Northwestern JTIP); authors are law faculty with expertise in IP and technology law
Relevance Proposes a specific, structured framework for AI attribution — directly addresses the query
Bias flags Low risk across domains. Academic proposal without obvious commercial interest

Evidence Extracts

Evidence ID Summary
SRC03-E01 AIA icon system proposal for graduated AI authorship disclosure