Documents found

  1. 171.

    Tremblay, Diane-Gabrielle, Psyché, Valérie and Yagoubi, Amina

    La mise en oeuvre de l’IA dans les organisations est-elle compatible avec une société éthique ?

    Article published in Ad machina (scholarly, collection Érudit)

    Issue 7, 2023

    Digital publication year: 2023

    More information

    This article expounds the competencies that are essential for managing artificial intelligence (AI) in organizations, with emphasis on ethics, but also including the issues from a managerial, technical, human, inclusive and responsible point of view. In the context of change associated with digital transformation, organizations that are digitizing, by integrating AI, need to identify the ethical issues and the associated required competencies to manage AI projects. The issues related to the development and management of AI projects are complex and different from those related to traditional IT project management. This complexity raises ethical, legal and social responsibility questions regarding AI, from an equity, diversity and inclusion perspective. These will have implications for the competencies expected of AI project managers in the future. Our research aimed to identify these competency issues and describe them, which is done through interviews and focus groups with experts from the AI community, in the broader context of a research on AI management. This article focuses primarily on the ethical issues emerging from our review of written works and meetings with AI experts, and their resonance in the Quebec AI ecosystem. We therefore here focus on questions of ethics, labour market transformation, governance and social responsibility. This article is organized in seven parts: introduction, issues, literature review, methodology, results, discussion and conclusion. The current challenges of AI in Quebec are given in terms of ethical management of innovative technologies, as well as the transformation of labour markets associated with AI. These key issues were identified in our 25 research interviews and three focus groups. In conclusion is a set of recommendations to promote change while considering ethical issues linked to turning towards AI.

    Keywords: Gouvernance et éthique de l’IA, compétence en éthique, EDI (équité, diversité et inclusion), gestion de l’IA, écosystème québécois d’IA