This dataset records, for six major academic publishers, whether an author must disclose the use of a generative-AI tool for each of six manuscript-preparation tasks. Each answer is taken directly from the publisher’s own public author guidance, quoted at the end of this document with its source URL.Because publishers describe some tasks explicitly and leave others unstated, a single table would hide that uncertainty. This dataset therefore gives two tables: a minimum reading and a maximum reading. The truth for any uncertain cell lies between them.This is made for ordinary people who are not used to academic language but may have ideas that can contribute to science, so it deliberately makes heavy use of emoji and AI-like bold. このデータセットは、6つの主要学術出版社について、原稿作成の6作業それぞれで生成AIの使用を開示しなければならないかどうかを記録したものです。各判定は出版社自身の公開ガイダンスから直接取り、文末に日本語訳と出典URLを併記しています(原文は英語。逐語原文は英語版データセットと各URLで確認できます)。出版社は一部の作業を明記し、他は書いていません。1つの表ではその不確実性が隠れてしまうため、最小の読みと最大の読みの2つの表を出します。不確実なセルの実際は、この2表の間にあります。これは学術言語に慣れてないが科学に貢献しうる発想を持った一般人向けに作られたため、絵文字やAI-likeな太字をあえて多用しています。
July 25, 2026. Paper Permission: What Publisher AI Policies Allow and Practice Withholds AFS3.6: Paper Permission: What Publisher AI Policies Allow and Practice Withholds Names Paper Permission: a permission present in the text of publisher policy and largely absent from open pra…
A companion study to a prior analysis of publisher generative-AI policies found that major publishers converge on reserving a set of functions for human authors: verification, evidential judgment, interpretation, final approval, responsibility for correction, and legal and ethica…
Publisher policies on generative AI are usually read as restrictions. Read instead as a map of delegable work, they reserve for the human author a narrow core: the integrity of primary research images, and the warranty of the claims, by which we mean the cluster of human function…
Generative AI has entered intellectual practice with a quality best described as irresistible. Much of the intellectual response in research and education has been organized around an alarm: that these systems induce a surrender of thinking, an atrophy of cognitive capacity, an a…
Generative AI inherently triggers a computational failure mode in human observers (a "generative crash") due to a lack of latent intentionality required for Inverse Reinforcement Learning (IRL) convergence. Artistic appreciation operates as the biological execution of this IRL pr…
This study examined the impact of generative AI chatbots on secondary school students' historical empathy and inquiry-based learning in Sabah, Malaysia. Utilizing a quasi-experimental design, the intervention integrated AI-driven simulations into history classrooms to allow stude…