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<h3 style="text-decoration:none;">Artificial Intelligence and the World of Work: Socio-Legal Perspectives and Ethical Issues</h3>

<h3 style="text-decoration:none;">Artificial Intelligence and the World of Work: Socio-Legal Perspectives and Ethical Issues</h3>

<p class="author">Jean Bernier (editor)</p>

<p class="author">Jean Bernier (editor)</p>

<p>(In French - original title: L’intelligence artificielle et les mondes du travail: Perspectives sociojuridiques et enjeux éthiques) The development of the digital economy and artificial intelligence (AI) has significantly changed the way products and services are produced, forcing companies to review their operating practices at every level. What's more, the acceleration towards digital technology is gradually invading the daily life of each and every one of us, who is seeing their work activity being transformed, sometimes in depth, to the point of leading to a certain form of professional de-skilling, or even the loss of certain jobs and the creation of others, requiring a different and higher level of training. Designed with an interdisciplinary approach and thanks to the contribution of authors from Quebec, France, and Belgium, this book examines the main effects of these digital transformations on the world of work and the increasingly important place occupied by AI. It sheds light on some of the issues raised by these transformations in terms of ethics, social dialogue, human resources management, and legal issues. In addition to these issues, there are the challenges posed by the dilution of the boundary between work and private life, as well as the metamorphosis of the relationship between the company and its employees that results from the development of digital platforms. The book also aims to stimulate reflection on the need to review the modes of regulation of work and avenues to be explored.</p>

<p>(In French - original title: <strong>L’intelligence artificielle et les mondes du travail: Perspectives sociojuridiques et enjeux éthiques</strong>) The development of the digital economy and artificial intelligence (AI) has significantly changed the way products and services are produced, forcing companies to review their operating practices at every level. What's more, the acceleration towards digital technology is gradually invading the daily life of each and every one of us, who is seeing their work activity being transformed, sometimes in depth, to the point of leading to a certain form of professional de-skilling, or even the loss of certain jobs and the creation of others, requiring a different and higher level of training. Designed with an interdisciplinary approach and thanks to the contribution of authors from Quebec, France, and Belgium, this book examines the main effects of these digital transformations on the world of work and the increasingly important place occupied by AI. It sheds light on some of the issues raised by these transformations in terms of ethics, social dialogue, human resources management, and legal issues. In addition to these issues, there are the challenges posed by the dilution of the boundary between work and private life, as well as the metamorphosis of the relationship between the company and its employees that results from the development of digital platforms. The book also aims to stimulate reflection on the need to review the modes of regulation of work and avenues to be explored.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<h3 style="text-decoration:none;">[https://www.researchgate.net/publication/327703818_La_modelisation_par_equations_structurelles_avec_Mplus Structural equation modeling with Mplus]</h3>

<h3 style="text-decoration:none;">[https://www.researchgate.net/publication/327703818_La_modelisation_par_equations_structurelles_avec_Mplus Structural equation modeling with Mplus]</h3>

<p class="author">Pier-Olivier Caron</p>

<p class="author">Pier-Olivier Caron</p>

<p>(In French - original title: La modélisation par équations structurelles avec Mplus) Structural equation modeling is becoming increasingly important in the humanities and social sciences, whether in psychology, sociology, or sexology. The purpose of this book is to provide researchers and students with an introduction to Mplus syntax in the form of a practical guide to perform basic analyses. The Mplus software stands out for the diversity of analyses it offers, its versatility in terms of data management (continuous, ordinal, binary, non-normal, etc), its handling of missing data, and its ease of use.</p>

<p>(In French - original title: <strong>La modélisation par équations structurelles avec Mplus</strong>) Structural equation modeling is becoming increasingly important in the humanities and social sciences, whether in psychology, sociology, or sexology. The purpose of this book is to provide researchers and students with an introduction to Mplus syntax in the form of a practical guide to perform basic analyses. The Mplus software stands out for the diversity of analyses it offers, its versatility in terms of data management (continuous, ordinal, binary, non-normal, etc), its handling of missing data, and its ease of use.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

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<h3 style="text-decoration:none;">[https://books.openedition.org/oep/1716?lang=fr What is text and data mining?]</h3>

<h3 style="text-decoration:none;">[https://books.openedition.org/oep/1716?lang=fr What is text and data mining?]</h3>

<p class="author">Scientific and Technical Information Directorate, CNRS</p>

<p class="author">Scientific and Technical Information Directorate, CNRS</p>

<p>(In French - original title: Qu’est-ce que le text et data mining ?) Data mining is a new concept that first appeared in 1989 under the name KDD (Knowledge Discovery in Databases). The term "text and data mining" first appeared in the marketing field in the early 1990s. This concept, as applied to marketing services, is closely linked to the concept of the "one-to-one relationship" (Michael Berry and Gordon Linoff, creators of data mining in M).</p>

<p>(In French - original title: <strong>Qu’est-ce que le text et data mining ?</strong>) Data mining is a new concept that first appeared in 1989 under the name KDD (Knowledge Discovery in Databases). The term "text and data mining" first appeared in the marketing field in the early 1990s. This concept, as applied to marketing services, is closely linked to the concept of the "one-to-one relationship" (Michael Berry and Gordon Linoff, creators of data mining in M).</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

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<h3 style="text-decoration:none;">Textual data analysis</h3>

<h3 style="text-decoration:none;">Textual data analysis</h3>

<p class="author">Ludovic Lebart, Bénédicte Pincemin, and Céline Poudat</p>

<p class="author">Ludovic Lebart, Bénédicte Pincemin, and Céline Poudat</p>

<p>(In French - original title: Analyse des données textuelles) Textual data analysis (TDA) makes it possible to explore and visualize a wide range of text collections: literary works, interview transcripts, political speeches, press files, archival documents, online surveys with open-ended questions, complaint files, and satisfaction surveys. This book provides a rigorous presentation of TDA methods, which combine exploratory statistics, visualizations, quantitative validation procedures, and qualitative approaches.</p>

<p>(In French - original title: <strong>Analyse des données textuelles</strong>) Textual data analysis (TDA) makes it possible to explore and visualize a wide range of text collections: literary works, interview transcripts, political speeches, press files, archival documents, online surveys with open-ended questions, complaint files, and satisfaction surveys. This book provides a rigorous presentation of TDA methods, which combine exploratory statistics, visualizations, quantitative validation procedures, and qualitative approaches.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

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<h3 style="text-decoration:none;">Big data and digital tracking</h3>

<h3 style="text-decoration:none;">Big data and digital tracking</h3>

<p class="author">Pierre-Michel Menger and Simon Paye (editors)</p>

<p class="author">Pierre-Michel Menger and Simon Paye (editors)</p>

<p>(In French - original title: Big data et traçabilité numérique) The digital traces of the activity of individuals, companies, administrations and social networks have become a considerable source of data. How is this data collected, stored, valued and sold? And what about the algorithms that convert information on behaviors, work acts and exchanges into a tool for control and persuasion? Are big data at our service or do they make us the consenting cogs of informational and relational capitalism? Social sciences investigate the social, ethical, political and economic stakes of these transformations. But they are also more and more consumers of mass digital data. This collective work explores the expansion of digital tracking in both its commercial and scientific dimensions. The book is edited by Pierre-Michel Menger, professor at the Collège de France and holder of the chair "Sociology of creative work", and by Simon Paye, lecturer at the University of Lorraine, sociologist of work and professional groups.</p>

<p>(In French - original title: <strong>Big data et traçabilité numérique</strong>) The digital traces of the activity of individuals, companies, administrations and social networks have become a considerable source of data. How is this data collected, stored, valued and sold? And what about the algorithms that convert information on behaviors, work acts and exchanges into a tool for control and persuasion? Are big data at our service or do they make us the consenting cogs of informational and relational capitalism? Social sciences investigate the social, ethical, political and economic stakes of these transformations. But they are also more and more consumers of mass digital data. This collective work explores the expansion of digital tracking in both its commercial and scientific dimensions. The book is edited by Pierre-Michel Menger, professor at the Collège de France and holder of the chair "Sociology of creative work", and by Simon Paye, lecturer at the University of Lorraine, sociologist of work and professional groups.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

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<h3 style="text-decoration:none;">Big Data and society: Industrialization of symbolic mediations</h3>

<h3 style="text-decoration:none;">Big Data and society: Industrialization of symbolic mediations</h3>

<p class="author">André Mondoux and Marc Ménard (editors)</p>

<p class="author">André Mondoux and Marc Ménard (editors)</p>

<p>(In French - original title: Big Data et société: Industrialisation des médiations symboliques) Big Data (or megadata) gives rise to speeches carrying promising economic visions: efficiency of micro-targeting, better yields through predictive management, algorithms and artificial intelligence, smart cities... in short, a whole economy of data that would find its true completion in a creativity finally liberated from all disciplinary, ideological, and political yokes. The breakdown of emancipated individualities probes the social as it is carried by these promotional discourses. Indeed, it is necessary to note that the social is relatively absent, for the moment, from the reflections that are presented as neuralgic for a better future. This phenomenon raises important and worrying questions, whether it be about the integrity of privacy in the face of the commodification of personal data, the economically productive dynamics of corporate surveillance, the power relationships induced by the GAFAMs (Google, Apple, Facebook, Amazon and Microsoft), the pitfalls of real time, or the algorithmic dynamic and its tendency to replace laws (politics) with facts (reality finally made undeniable by quantifiable data). This first collective work of the Research Group on Information and Surveillance in Daily Life (GRISQ) considers Big Data as a producer of effects as well as a product of social dynamics. It will be of interest to students and researchers in the field of communication who wonder about the vast universe of megadata.</p>

<p>(In French - original title: <strong>Big Data et société: Industrialisation des médiations symboliques</strong>) Big Data (or megadata) gives rise to speeches carrying promising economic visions: efficiency of micro-targeting, better yields through predictive management, algorithms and artificial intelligence, smart cities... in short, a whole economy of data that would find its true completion in a creativity finally liberated from all disciplinary, ideological, and political yokes. The breakdown of emancipated individualities probes the social as it is carried by these promotional discourses. Indeed, it is necessary to note that the social is relatively absent, for the moment, from the reflections that are presented as neuralgic for a better future. This phenomenon raises important and worrying questions, whether it be about the integrity of privacy in the face of the commodification of personal data, the economically productive dynamics of corporate surveillance, the power relationships induced by the GAFAMs (Google, Apple, Facebook, Amazon and Microsoft), the pitfalls of real time, or the algorithmic dynamic and its tendency to replace laws (politics) with facts (reality finally made undeniable by quantifiable data). This first collective work of the Research Group on Information and Surveillance in Daily Life (GRISQ) considers Big Data as a producer of effects as well as a product of social dynamics. It will be of interest to students and researchers in the field of communication who wonder about the vast universe of megadata.</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

<p class="recco">Recommended by Agriculture and Agri-Food Canada, a GC Data Community partner</p>

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<h3 style="text-decoration:none;">[https://www.mccarthy.ca/fr/references/blogues/techlex/le-projet-de-loi-95-de-la-volonte-de-letat-quebecois-de-permettre-un-acces-et-une-utilisation-optimale-de-ses-donnees Bill 95: The Quebec government's desire to allow access to and optimal use of its data]</h3>

<h3 style="text-decoration:none;">[https://www.mccarthy.ca/fr/references/blogues/techlex/le-projet-de-loi-95-de-la-volonte-de-letat-quebecois-de-permettre-un-acces-et-une-utilisation-optimale-de-ses-donnees Bill 95: The Quebec government's desire to allow access to and optimal use of its data]</h3>

<p class="author">Karine Joizil</p>

<p class="author">Karine Joizil</p>

<p>(In French - original title: Le projet de loi 95 : De la volonté de l’État québécois de permettre un accès et une utilisation optimale de ses données) In the research world, this reform has been desired for a long time, notably by the Chief Scientist of Quebec and the research funds, for whom access to these data will be of great use.</p>

<p>(In French - original title: <strong>Le projet de loi 95 : De la volonté de l’État québécois de permettre un accès et une utilisation optimale de ses données</strong>) In the research world, this reform has been desired for a long time, notably by the Chief Scientist of Quebec and the research funds, for whom access to these data will be of great use.</p>

<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>

<p class="recco">Recommended by the Office of the CIO of Canada, Treasury Board of Canada Secretariat, a GC Data Community partner</p>