AI-Driven Decision Making in Innovation
DOI:
https://doi.org/10.62802/wr5yt023Keywords:
artificial intelligence, innovation, decision-making, generative AI, machine learning, ethics, human–AI collaboration, responsible innovation, predictive analyticsAbstract
Artificial intelligence (AI) is reshaping the landscape of innovation by transforming how organizations generate ideas, make decisions, and develop products and services. This research paper comprehensively explores the role of AI in driving innovation through advanced technologies such as machine learning, natural language processing, generative models, and big data analytics. It examines AI’s integration into entrepreneurial ventures and corporate R&D settings and highlights key enablers and barriers. It also addresses ethical considerations including bias, explainability, and human–AI collaboration. Drawing on recent case studies and literature from 2024–2025, the study offers a multidimensional framework for understanding AI-driven decision-making in innovation. It concludes with strategic recommendations for leaders, policymakers, and educators, emphasizing the need for responsible, inclusive, and human-centered innovation ecosystems in the AI era.
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