Artificial intelligence

Meng Ma

Chapter 4 in Elgar Encyclopedia of Innovation Management, 2025, pp 13-16 from Edward Elgar Publishing

Abstract: This entry explores the dynamic role of artificial intelligence (AI) in business innovation, charting its evolution from initial knowledge-based systems to contemporary generative models. It emphasizes AI's intertwined relationship with innovation, showcasing its utility in reshaping ideation and iterative innovation processes, while also noting the challenges posed by AI-induced inaccuracies. The entry further delves into AI's impact on collective innovation, underscoring its benefits in efficiency and collaboration, and highlighting areas needing further exploration such as task allocation and consensus formation in diverse teams. Additionally, it addresses potential risks of AI integration, including diminished human engagement and the risk of content homogenization. The outlook presented anticipates a future where AI integration enhances human capabilities, accelerates innovation cycles, and necessitates lifelong learning to adapt to technological advancements.

Keywords: Artificial intelligence; Business innovation; Collective innovation; Human-AI interaction (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035306442
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