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“Rebuilding trust” was the theme of the 54th World Economic Forum in Davos, Switzerland, and much of the discussion there and beyond continues to focus on senior leaders’ role in balancing the risks and rewards of AI's impact and potential on their organizations.
In this paper, we take a unique look at how behavioral economics can help us understand how executives make decisions about AI, examining the psychological factors that affect human choices, such as cognitive biases, loss aversion, herding behavior, and overconfidence. These factors can influence how leaders perceive and adopt AI, and how they balance short-term and long-term outcomes:
Success with AI is not only about technology, but also about transparency and governance. To launch and scale responsible AI strategies, leaders need to be aware of their own biases, seek diverse perspectives, and ensure transparency in AI implementation across a broad group of stakeholders and users.