I'm a psychology professor turned AI consultant. Here's how I help companies stop AI from being a 'yes-man.'

Leigh Coney, a former psychology professor turned AI consultant in France, is on a mission to reshape how businesses interact with artificial intelligence. With a keen understanding of psychological principles, Coney emphasizes that many AI systems tend to behave like 'yes-men'—they often agree with users without challenging their assumptions, which can lead to project failures. After Microsoft introduced its Copilot feature nearly three years ago, Coney recognized the potential of AI in every industry and decided to pivot his career. Now, he specializes in developing custom AI solutions aimed at enhancing efficiency and fostering growth across various sectors. His unique background equips him to navigate the complexities of AI while ensuring that psychological factors are considered in the development of automated systems. Coney points out that even with improvements made to models like ChatGPT, users must actively engage with AI by questioning their own ideas. He advocates for prompting AI to identify assumptions that may not be immediately obvious. By asking targeted questions—such as "Where am I unclear in my thinking?"—users can leverage AI to uncover blind spots in their thought processes. For instance, when preparing for a pitch to a CFO, Coney suggests instructing a chatbot to adopt a skeptical stance and pose tough questions. This approach not only prepares users for potential objections but also enhances the quality of their proposals by forcing deeper reflection on their ideas. Coney also highlights the power of framing in communication. The way questions are posed to AI can significantly influence the responses generated. For example, when addressing project delays, a manager might word their prompt to focus on resilience and learning instead of emphasizing the negative aspects of the setback. Such nuanced adjustments can lead to more constructive outcomes. Despite initial concerns about the rapid advancement of AI and its implications for employment, Coney feels reassured after observing the recent developments in AI technology. He believes that understanding cognitive biases is crucial for improving communication with both people and AI, ultimately leading to superior results. Coney encourages fellow AI experts to share their insights and experiences, fostering a community dedicated to advancing the responsible use of artificial intelligence.