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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Érudit's RSS Feed</title><link>http://www.erudit.org/en/</link><description>Volume 22, Number 2, 2025</description><atom:link href="http://www.erudit.org/en/journals/du/rss.xml" rel="self"/><language>en</language><lastBuildDate>Thu, 03 Sep 2026 03:11:20 +0000</lastBuildDate><image><url>https://assets.erudit.tech/static/img/logo-erudit.daebca8dc4fc.png</url><title>Érudit</title><link>https://erudit.org</link></image><item><title>INTRODUCTION</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123659ar/</link><description>Tania Saba and Gaëlle Falcon</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123659ar/</guid></item><item><title>Intelligence artificielle et transformation de la GRH : vers une reconceptualisation de l’efficacité des systèmes RH</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123660ar/</link><description>Anaïs Hébrard and Jean Frantz Ricardeau Registre&lt;br /&gt;Research in strategic human resource management (HRM) has traditionally focused on content, namely the practices implemented within organizations. This perspective also dominates recent studies on artificial intelligence (AI), which has primarily examined the transformation of tasks and activities. However, an emerging approach emphasizes the importance of process, offering a more nuanced understanding of the structuring of HR systems and the signals they convey to employees. Building on this processual perspective, this article proposes a conceptual model demonstrating how the parameters of responsible AI — reliability, safety, and trust — shape the dimensions of HR processes — distinctiveness, consistency, and consensus — and, in tur, influence the signals perceived in terms of equity. The study thus contributes to the literature and puts forward recommendations to guide future research.</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123660ar/</guid></item><item><title>Les technologies numériques : pour réduire ou pour renforcer le déficit démocratique de genre au sein des organisations syndicales ?</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123661ar/</link><description>Marie-Pier Bernard Pelletier&lt;br /&gt;This article explores the deployment of digital technologies within unions and its impact on the under-representation of women in union bodies. It draws on a case study carried out within a union in Quebec’s health and social services sector. The data were collected from elected representatives serving at both the national and local levels. The findings reveal a paradox: on the one hand, remote union participation made possible through digital technology is perceived as an opportunity that promotes a better balance between union, professional, and personal life for women and allows them to be agents of their own union commitment; on the other hand, it is perceived as a mechanism that reproduces — and even exacerbates —, gender inequalities, raising concerns among women about being relegated to the role of spectators in their own union commitment.</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123661ar/</guid></item><item><title>Femmes et carrières dans les TI et l’IA au Québec : revue des écrits</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123662ar/</link><description>Valérie Payen Jean Baptiste, Diane-Gabrielle Tremblay and Valéry Psyché&lt;br /&gt;In 1843, Ada Lovelace wrote the first computer algorithm in history. Yet the field she helped establish remains paradoxically, still largely male-dominated. Today, in the era of artificial intelligence (AI), this underrepresentation of women contributes to perpetuating algorithmic biases that reproduce and amplify existing inequalities. This literature review examines women’s underrepresentation in information technology (IT) and AI in Quebec. The findings highlight several key factors that help explain this disparity and outline a series of strategic intervention pathways. These levers are essential to building a more inclusive technological ecosystem in Quebec.</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123662ar/</guid></item><item><title>Note de recherche – Système intelligent d’aide à la décision pour le plan d’intervention scolaire : enjeux d’EDI et biais</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123663ar/</link><description>Maria del Carmen Grullon Carvajal, Nathalie S. Trépanier, Ph. D., Marine Blondeau, Ph. D. and Neila Mezghani, Ph. D.&lt;br /&gt;In Quebec, the individualized education plan (IEP) is a key educational tool for implementing the principles of equity, diversity, and inclusion (EDI) in school settings, as it promotes the recognition, appreciation, and consideration of student diversity. Central to equitable educational practices that support inclusion and student success, its development requires excellent mastery of the decision-making process. The use of artificial intelligence (AI) opens new avenues for supporting and training educational professionals in order to improve the quality of IEPs. This research note examines the principles of EDI and the reduction of bias in the development of an intelligent decision-support system designed to assist in the development of IEPs in school settings.</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123663ar/</guid></item><item><title>Équipe éditoriale de la revue Diversité urbaine</title><link>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123664ar/</link><description>&lt;br /&gt;None</description><guid>http://www.erudit.org/en/journals/du/2025-v22-n2-du010498/1123664ar/</guid></item></channel></rss>