{"id":25655,"date":"2024-10-28T11:15:26","date_gmt":"2024-10-28T09:15:26","guid":{"rendered":"https:\/\/cinia.blogs.usj.edu.lb\/?p=25655"},"modified":"2025-11-13T16:29:59","modified_gmt":"2025-11-13T14:29:59","slug":"lignes-directrices-pour-une-utilisation-responsable-de-lia-generative-dans-ledition-academique","status":"publish","type":"post","link":"https:\/\/cinia.blogs.usj.edu.lb\/en\/2024\/10\/lignes-directrices-pour-une-utilisation-responsable-de-lia-generative-dans-ledition-academique\/","title":{"rendered":"Guidelines for the Responsible Use of Generative AI in Academic Editing"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":25665,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[260,259],"tags":[],"class_list":["post-25655","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia-enjeux-ethiques","category-ia-usage-pedagogique"],"mb":[],"acf":{"french_input_post_block1":{"simple_value_formatted":"

L’Association Internationale des \u00c9diteurs Scientifiques, Techniques et M\u00e9dicaux (STM) est l’association mondiale qui repr\u00e9sente les principaux \u00e9diteurs acad\u00e9miques ainsi que les organisations offrant des services et un soutien dans l’\u00e9cosyst\u00e8me de l’\u00e9dition scientifique (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM propose des directives compl\u00e8tes pour tous les acteurs de l’\u00e9dition scientifique, en abordant le r\u00f4le des technologies d’IA g\u00e9n\u00e9rative (GenAI).<\/p>\n

Ce guide explore les applications potentielles de la GenAI dans divers r\u00f4les du cycle \u00e9ditorial, \u00e0 savoir les auteurs, les \u00e9quipes \u00e9ditoriales, les \u00e9valuateurs et les prestataires, en tenant compte des questions de droits d’auteur, de confidentialit\u00e9, de protection des informations et d\u2019\u00e9thique. Compte tenu des vastes implications des outils de GenAI dans chacun de ces domaines, promouvoir une culture d\u2019utilisation responsable et \u00e9thique n\u00e9cessite une attention particuli\u00e8re \u00e0 ces aspects.<\/p>\n

<\/p>\n

Un exemple concret du r\u00f4le de la GenAI r\u00e9side dans son assistance pour am\u00e9liorer la langue et le style, en particulier pour les chercheurs non anglophones natifs. Un outil linguistique pilot\u00e9 par la GenAI peut, par exemple, aider un auteur \u00e0 affiner la grammaire, la clart\u00e9 et la lisibilit\u00e9 d\u2019un travail, supprimant les barri\u00e8res linguistiques et am\u00e9liorant l\u2019accessibilit\u00e9. Cependant, cette utilisation pr\u00e9sente aussi des d\u00e9fis. Une forte d\u00e9pendance aux r\u00e9visions g\u00e9n\u00e9r\u00e9es par l\u2019IA peut brouiller la fronti\u00e8re entre les contributions uniques de l\u2019auteur et le contenu g\u00e9n\u00e9r\u00e9 par la machine, ce qui pourrait compliquer les questions d\u2019attribution et de propri\u00e9t\u00e9 intellectuelle. En outre, les mod\u00e8les de GenAI peuvent produire des \u00ab\u00a0hallucinations\u00a0\u00bb \u2013 des informations plausibles mais incorrectes. Dans les travaux acad\u00e9miques, de telles hallucinations pourraient entra\u00eener l\u2019inclusion de donn\u00e9es erron\u00e9es ou de r\u00e9f\u00e9rences invent\u00e9es, compromettant ainsi la cr\u00e9dibilit\u00e9 du travail publi\u00e9.<\/p>\n

L’\u00e9mergence de la GenAI a donc accru le besoin de r\u00e9flexion approfondie sur ses avantages et ses risques dans l’\u00e9dition scientifique. D\u2019un c\u00f4t\u00e9 positif, la GenAI peut am\u00e9liorer la qualit\u00e9 des publications, combler les lacunes linguistiques et accro\u00eetre l\u2019efficacit\u00e9 pour tous les acteurs concern\u00e9s. Cependant, elle soul\u00e8ve \u00e9galement le risque de r\u00e9sultats de recherche falsifi\u00e9s, car les outils de GenAI peuvent d\u00e9sormais g\u00e9n\u00e9rer facilement des donn\u00e9es et des images fabriqu\u00e9es. Les outils actuels de v\u00e9rification de l\u2019int\u00e9grit\u00e9 ne sont pas encore pleinement adapt\u00e9s pour identifier ces probl\u00e8mes, rendant difficile la v\u00e9rification de l\u2019authenticit\u00e9 du contenu g\u00e9n\u00e9r\u00e9 par l’IA et soulignant la n\u00e9cessit\u00e9 d’une utilisation responsable ainsi que le d\u00e9veloppement continu de solutions de v\u00e9rification d\u2019authentification dans l’\u00e9dition scientifique.<\/p>\n","value_formatted":"L'Association Internationale des \u00c9diteurs Scientifiques, Techniques et M\u00e9dicaux (STM) est l'association mondiale qui repr\u00e9sente les principaux \u00e9diteurs acad\u00e9miques ainsi que les organisations offrant des services et un soutien dans l'\u00e9cosyst\u00e8me de l'\u00e9dition scientifique (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM propose des directives compl\u00e8tes pour tous les acteurs de l'\u00e9dition scientifique, en abordant le r\u00f4le des technologies d'IA g\u00e9n\u00e9rative (GenAI).\r\n\r\nCe guide explore les applications potentielles de la GenAI dans divers r\u00f4les du cycle \u00e9ditorial, \u00e0 savoir les auteurs, les \u00e9quipes \u00e9ditoriales, les \u00e9valuateurs et les prestataires, en tenant compte des questions de droits d'auteur, de confidentialit\u00e9, de protection des informations et d\u2019\u00e9thique. Compte tenu des vastes implications des outils de GenAI dans chacun de ces domaines, promouvoir une culture d\u2019utilisation responsable et \u00e9thique n\u00e9cessite une attention particuli\u00e8re \u00e0 ces aspects.\r\n\r\n\r\n\r\nUn exemple concret du r\u00f4le de la GenAI r\u00e9side dans son assistance pour am\u00e9liorer la langue et le style, en particulier pour les chercheurs non anglophones natifs. Un outil linguistique pilot\u00e9 par la GenAI peut, par exemple, aider un auteur \u00e0 affiner la grammaire, la clart\u00e9 et la lisibilit\u00e9 d\u2019un travail, supprimant les barri\u00e8res linguistiques et am\u00e9liorant l\u2019accessibilit\u00e9. Cependant, cette utilisation pr\u00e9sente aussi des d\u00e9fis. Une forte d\u00e9pendance aux r\u00e9visions g\u00e9n\u00e9r\u00e9es par l\u2019IA peut brouiller la fronti\u00e8re entre les contributions uniques de l\u2019auteur et le contenu g\u00e9n\u00e9r\u00e9 par la machine, ce qui pourrait compliquer les questions d\u2019attribution et de propri\u00e9t\u00e9 intellectuelle. En outre, les mod\u00e8les de GenAI peuvent produire des \"hallucinations\" \u2013 des informations plausibles mais incorrectes. Dans les travaux acad\u00e9miques, de telles hallucinations pourraient entra\u00eener l\u2019inclusion de donn\u00e9es erron\u00e9es ou de r\u00e9f\u00e9rences invent\u00e9es, compromettant ainsi la cr\u00e9dibilit\u00e9 du travail publi\u00e9.\r\n\r\nL'\u00e9mergence de la GenAI a donc accru le besoin de r\u00e9flexion approfondie sur ses avantages et ses risques dans l'\u00e9dition scientifique. D\u2019un c\u00f4t\u00e9 positif, la GenAI peut am\u00e9liorer la qualit\u00e9 des publications, combler les lacunes linguistiques et accro\u00eetre l\u2019efficacit\u00e9 pour tous les acteurs concern\u00e9s. Cependant, elle soul\u00e8ve \u00e9galement le risque de r\u00e9sultats de recherche falsifi\u00e9s, car les outils de GenAI peuvent d\u00e9sormais g\u00e9n\u00e9rer facilement des donn\u00e9es et des images fabriqu\u00e9es. Les outils actuels de v\u00e9rification de l\u2019int\u00e9grit\u00e9 ne sont pas encore pleinement adapt\u00e9s pour identifier ces probl\u00e8mes, rendant difficile la v\u00e9rification de l\u2019authenticit\u00e9 du contenu g\u00e9n\u00e9r\u00e9 par l'IA et soulignant la n\u00e9cessit\u00e9 d'une utilisation responsable ainsi que le d\u00e9veloppement continu de solutions de v\u00e9rification d\u2019authentification dans l'\u00e9dition scientifique.","value":"L'Association Internationale des \u00c9diteurs Scientifiques, Techniques et M\u00e9dicaux (STM) est l'association mondiale qui repr\u00e9sente les principaux \u00e9diteurs acad\u00e9miques ainsi que les organisations offrant des services et un soutien dans l'\u00e9cosyst\u00e8me de l'\u00e9dition scientifique (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM propose des directives compl\u00e8tes pour tous les acteurs de l'\u00e9dition scientifique, en abordant le r\u00f4le des technologies d'IA g\u00e9n\u00e9rative (GenAI).\r\n\r\nCe guide explore les applications potentielles de la GenAI dans divers r\u00f4les du cycle \u00e9ditorial, \u00e0 savoir les auteurs, les \u00e9quipes \u00e9ditoriales, les \u00e9valuateurs et les prestataires, en tenant compte des questions de droits d'auteur, de confidentialit\u00e9, de protection des informations et d\u2019\u00e9thique. Compte tenu des vastes implications des outils de GenAI dans chacun de ces domaines, promouvoir une culture d\u2019utilisation responsable et \u00e9thique n\u00e9cessite une attention particuli\u00e8re \u00e0 ces aspects.\r\n\r\n\r\n\r\nUn exemple concret du r\u00f4le de la GenAI r\u00e9side dans son assistance pour am\u00e9liorer la langue et le style, en particulier pour les chercheurs non anglophones natifs. Un outil linguistique pilot\u00e9 par la GenAI peut, par exemple, aider un auteur \u00e0 affiner la grammaire, la clart\u00e9 et la lisibilit\u00e9 d\u2019un travail, supprimant les barri\u00e8res linguistiques et am\u00e9liorant l\u2019accessibilit\u00e9. Cependant, cette utilisation pr\u00e9sente aussi des d\u00e9fis. Une forte d\u00e9pendance aux r\u00e9visions g\u00e9n\u00e9r\u00e9es par l\u2019IA peut brouiller la fronti\u00e8re entre les contributions uniques de l\u2019auteur et le contenu g\u00e9n\u00e9r\u00e9 par la machine, ce qui pourrait compliquer les questions d\u2019attribution et de propri\u00e9t\u00e9 intellectuelle. En outre, les mod\u00e8les de GenAI peuvent produire des \"hallucinations\" \u2013 des informations plausibles mais incorrectes. Dans les travaux acad\u00e9miques, de telles hallucinations pourraient entra\u00eener l\u2019inclusion de donn\u00e9es erron\u00e9es ou de r\u00e9f\u00e9rences invent\u00e9es, compromettant ainsi la cr\u00e9dibilit\u00e9 du travail publi\u00e9.\r\n\r\nL'\u00e9mergence de la GenAI a donc accru le besoin de r\u00e9flexion approfondie sur ses avantages et ses risques dans l'\u00e9dition scientifique. D\u2019un c\u00f4t\u00e9 positif, la GenAI peut am\u00e9liorer la qualit\u00e9 des publications, combler les lacunes linguistiques et accro\u00eetre l\u2019efficacit\u00e9 pour tous les acteurs concern\u00e9s. Cependant, elle soul\u00e8ve \u00e9galement le risque de r\u00e9sultats de recherche falsifi\u00e9s, car les outils de GenAI peuvent d\u00e9sormais g\u00e9n\u00e9rer facilement des donn\u00e9es et des images fabriqu\u00e9es. Les outils actuels de v\u00e9rification de l\u2019int\u00e9grit\u00e9 ne sont pas encore pleinement adapt\u00e9s pour identifier ces probl\u00e8mes, rendant difficile la v\u00e9rification de l\u2019authenticit\u00e9 du contenu g\u00e9n\u00e9r\u00e9 par l'IA et soulignant la n\u00e9cessit\u00e9 d'une utilisation responsable ainsi que le d\u00e9veloppement continu de solutions de v\u00e9rification d\u2019authentification dans l'\u00e9dition scientifique.","field":{"ID":19738,"key":"field_664c3e682571d","label":"French Input","name":"french_input_post_block1","aria-label":"","prefix":"acf","type":"wysiwyg","value":null,"menu_order":0,"instructions":"","required":0,"id":"","class":"","conditional_logic":0,"parent":18677,"wrapper":{"width":"","class":"roboto-input","id":""},"default_value":"","tabs":"all","toolbar":"full","media_upload":1,"delay":0,"_name":"french_input_post_block1","_valid":1}},"english_input_post_block1":{"simple_value_formatted":"

The International Association of Scientific, Technical & Medical Publishers (STM) is the global trade association representing leading scholarly publishers and organizations providing services and support within the scholarly publishing ecosystem (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM offers comprehensive guidance for all stakeholders in scholarly publishing, addressing the role of generative AI (GenAI) technologies.<\/p>\n

This guide explores potential GenAI applications across various roles in the publishing cycle, including authors, editorial teams, reviewers, and vendors, with considerations for copyright, privacy, confidentiality, and ethics. As GenAI tools have far-reaching implications in each of these areas, promoting a culture of responsible and ethical use requires careful attention to these factors.<\/p>\n

<\/p>\n

One practical example of GenAI\u2019s role is in assisting authors with language and style refinement, especially for researchers who are non-native English speakers. A GenAI-powered language tool, for instance, can help an author improve grammar, clarity, and readability in a manuscript, breaking down language barriers and enhancing accessibility. However, this use also poses challenges. Heavy reliance on AI-generated revisions may blur the line between an author\u2019s unique contributions and machine-generated content, potentially complicating questions of authorship and intellectual ownership. Further, GenAI models are known to produce \u201challucinations\u201d \u2014 plausible-sounding yet incorrect information. In academic manuscripts, such hallucinations could lead to the inclusion of erroneous data or fabricated references, undermining the credibility of the published work.<\/p>\n

The emergence of GenAI has, therefore, heightened the need for careful consideration of both its advantages and risks in scholarly publishing. On the positive side, GenAI can improve the quality of published material, bridge language gaps, and enhance efficiency for all stakeholders involved. However, it also raises the risk of faked research results, as GenAI tools can now produce fabricated data and images with ease. Current integrity-checking tools are not fully adapted to identify these issues, making it difficult to verify the authenticity of AI-generated content and further underscoring the need for responsible use and continued development of AI integrity solutions in scholarly publishing.<\/p>\n","value_formatted":"The International Association of Scientific, Technical & Medical Publishers (STM) is the global trade association representing leading scholarly publishers and organizations providing services and support within the scholarly publishing ecosystem (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM offers comprehensive guidance for all stakeholders in scholarly publishing, addressing the role of generative AI (GenAI) technologies.\r\n\r\nThis guide explores potential GenAI applications across various roles in the publishing cycle, including authors, editorial teams, reviewers, and vendors, with considerations for copyright, privacy, confidentiality, and ethics. As GenAI tools have far-reaching implications in each of these areas, promoting a culture of responsible and ethical use requires careful attention to these factors.\r\n\r\n\r\n\r\nOne practical example of GenAI\u2019s role is in assisting authors with language and style refinement, especially for researchers who are non-native English speakers. A GenAI-powered language tool, for instance, can help an author improve grammar, clarity, and readability in a manuscript, breaking down language barriers and enhancing accessibility. However, this use also poses challenges. Heavy reliance on AI-generated revisions may blur the line between an author\u2019s unique contributions and machine-generated content, potentially complicating questions of authorship and intellectual ownership. Further, GenAI models are known to produce \u201challucinations\u201d \u2014 plausible-sounding yet incorrect information. In academic manuscripts, such hallucinations could lead to the inclusion of erroneous data or fabricated references, undermining the credibility of the published work.\r\n\r\nThe emergence of GenAI has, therefore, heightened the need for careful consideration of both its advantages and risks in scholarly publishing. On the positive side, GenAI can improve the quality of published material, bridge language gaps, and enhance efficiency for all stakeholders involved. However, it also raises the risk of faked research results, as GenAI tools can now produce fabricated data and images with ease. Current integrity-checking tools are not fully adapted to identify these issues, making it difficult to verify the authenticity of AI-generated content and further underscoring the need for responsible use and continued development of AI integrity solutions in scholarly publishing.","value":"The International Association of Scientific, Technical & Medical Publishers (STM) is the global trade association representing leading scholarly publishers and organizations providing services and support within the scholarly publishing ecosystem (https:\/\/stm-assoc.org\/who-we-are\/<\/a>). STM offers comprehensive guidance for all stakeholders in scholarly publishing, addressing the role of generative AI (GenAI) technologies.\r\n\r\nThis guide explores potential GenAI applications across various roles in the publishing cycle, including authors, editorial teams, reviewers, and vendors, with considerations for copyright, privacy, confidentiality, and ethics. As GenAI tools have far-reaching implications in each of these areas, promoting a culture of responsible and ethical use requires careful attention to these factors.\r\n\r\n\r\n\r\nOne practical example of GenAI\u2019s role is in assisting authors with language and style refinement, especially for researchers who are non-native English speakers. A GenAI-powered language tool, for instance, can help an author improve grammar, clarity, and readability in a manuscript, breaking down language barriers and enhancing accessibility. However, this use also poses challenges. Heavy reliance on AI-generated revisions may blur the line between an author\u2019s unique contributions and machine-generated content, potentially complicating questions of authorship and intellectual ownership. Further, GenAI models are known to produce \u201challucinations\u201d \u2014 plausible-sounding yet incorrect information. In academic manuscripts, such hallucinations could lead to the inclusion of erroneous data or fabricated references, undermining the credibility of the published work.\r\n\r\nThe emergence of GenAI has, therefore, heightened the need for careful consideration of both its advantages and risks in scholarly publishing. On the positive side, GenAI can improve the quality of published material, bridge language gaps, and enhance efficiency for all stakeholders involved. However, it also raises the risk of faked research results, as GenAI tools can now produce fabricated data and images with ease. Current integrity-checking tools are not fully adapted to identify these issues, making it difficult to verify the authenticity of AI-generated content and further underscoring the need for responsible use and continued development of AI integrity solutions in scholarly publishing.","field":{"ID":19739,"key":"field_664c3e7b2571e","label":"English 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