Erratum Publication Analysis
Erratum: AI Development and Innovation: A Comparison of Large Language Models from the U.S. and China
Authors: JIAXIN LI (The University of Hong Kong), ZHENHUI JIANG (The University of Hong Kong), YANG LIU (Xi'an Jiaotong University)
Published: 06 March 2026 | DOI: 3799224
Executive Impact: Upholding Publication Integrity
This erratum addresses a critical aspect of academic publishing: the accuracy of author attribution. While correcting a minor detail, it reinforces the commitment to transparency and reliability in research dissemination.
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Correction Rate (Published Errata)
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Trust Index (Post-Correction)
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Misinformation Risk Reduction
Deep Analysis & Enterprise Applications
This section details the nature of the erratum and its implications for maintaining robust publication standards within an enterprise context, especially for internal research or public-facing AI ethics statements.
Abstract Summary
This document serves as an official erratum for the article 'AI Development and Innovation: A Comparison of Large Language Models from the U.S. and China', originally published in ACM Trans. Manag. Inform. Syst. The purpose of this erratum is to formally correct an error in the author list of the original publication.
Correction Detail: The originally published article incorrectly listed Xiaoyu Miao as an author. The article has now been corrected to reflect the accurate author contributions.
Key Themes Addressed by the Original Paper (Context for Erratum)
The original article focused on: AI Development and Innovation: A Comparison of Large Language Models from the U.S. and China. This involved understanding AI development, innovation, and comparative analysis of Large Language Models (LLMs) from the U.S. and China. The correction ensures the integrity of the contributors to this important work.
Keywords: Large language models, LLM evaluation, AI Competition, natural language proficiency, disciplinary expertise, safety and responsibility, Erratum, Author Correction, Publication Integrity
CCS Concepts: Computing methodologies → Natural language processing; Human-centered computing → HCI design and evaluation methods; Information systems → Information systems applications
Crucial Author Correction Identified
The primary purpose of this erratum is to rectify an error in the original author list. Ensuring accurate attribution is fundamental to academic integrity and trust in research.
Author List Corrected The original publication incorrectly listed an author. This erratum ensures accurate academic attribution.Standard Erratum Process Flow
To maintain the integrity of published research, a rigorous process is followed to document and disseminate corrections.
Error Identification
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Formal Submission
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Editorial Review
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Erratum Publication
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Database Update & Archival
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Estimated Annual Savings (Risk Mitigation)
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Estimated Annual Hours Reclaimed (for higher value tasks)
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Erratum & Correction Implementation Roadmap
A structured approach ensures that corrections are handled efficiently and transparently, preserving trust and integrity. This roadmap outlines key phases for managing publication errata.
Error Identification & Verification
Internal or external discovery of the inaccuracy in the author list, followed by verification by the editorial team.
Formal Erratum Submission
Submission of the erratum by the authors or institution, detailing the exact nature of the correction.
Editorial Review & Approval
The erratum undergoes peer review or editorial scrutiny to confirm the necessity and accuracy of the proposed changes.
Publication & Indexing
The erratum is formally published, linked to the original article, and updated in academic databases and indices to ensure broad dissemination.
Long-Term Archival
Ensuring the erratum and corrected record are permanently archived and accessible for future reference, upholding scholarly record integrity.
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