4/25/2023 0 Comments Mario games in the world wide webAlthough a significant amount of research has addressed ML, existing research leaves it largely unclear whether and when humans and ML systems act as beneficial complementarities or as mutual impediments within the context of learning. Although organizations are increasingly adopting ML systems within a wide range of processes, we still know surprisingly little about how the learning of humans and ML systems affects each other and how their mutual learning affects organizational performance. With today’s rise of machine learning (ML) systems as a modern form of artificial intelligence (AI) and their ability to autonomously learn and act, ML systems can now also contribute to this vital process, offering organizations an alternative way to learn. For decades, organizations have relied exclusively on human learning for this purpose. To achieve great performance and ensure their long-term survival, organizations must successfully act in and adapt to the reality that surrounds them, which requires organizations to learn effectively.
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