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Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.
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Cet article rend compte de la manière dont les organisations internationales pourraient s’approprier la démarche délibérative à l’occasion de leurs efforts de régulation éthique de l’IA en présentant le projet de la délibération internationale intitulée « Dialogue inclusif sur l’éthique de l’intelligence artificielle (IA) » (ODAI) menée par Algora Lab - Université de Montréal et Mila - Institut québécois d’intelligence artificielle. Ce projet délibératif portait sur le premier instrument normatif mondial en éthique de l’IA rédigé par l’UNESCO. L’ODAI se démarque par sa portée internationale, le nombre de personnes consultées et sa réalisation en ligne. Après une présentation du cadre méthodologique et théorique de la délibération sur l’éthique de l’IA, nous opérons une analyse critique du processus et nous proposerons finalement des recommandations pratiques pour de futures délibérations en éthique de l’IA.
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Digital innovation is ever more present and increasingly integrated into citizen science research. However, smartphones and other connected devices come with specific features and characteristics and, in consequence, raise particular ethical issues. This article addresses this important intersection of citizen science and the Internet of Things by focusing on how such ethical issues are communicated in scholarly literature. To answer this research question, this article presents a scoping review of published scientific studies or case studies of scientific studies that utilize both citizen scientists and Internet of Things devices. Specifically, this scoping review protocol retrieved studies where the authors had included at least a short discussion of the ethical issues encountered during the research process. A full text analysis of relevant articles conducted inductively and deductively identified three main categories of ethical issues being communicated: autonomy and data privacy, data quality, and intellectual property. Based on these categories, this review offers an overview of the legal and social innovation implications raised. This review also provides recommendations for researchers who wish to innovatively integrate citizen scientists and Internet of Things devices into their research based on the strategies researchers took to resolve these ethical issues.
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Open innovation: The new imperative for creating and profiting from technology
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- Éthique de l’IA (1)
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- Innovation (1)
- Intelligence artificielle (2)
- Internet des objets (1)
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