Want to use AI to improve your work? Have it disagree with you
Prompting AI models to contradict your ideas can improve your thinking about a problem.
Artificial intelligence can be a valuable tool for knowledge workers such as scientists, teachers, lawyers, and business leaders. However, recent research suggests that relying too heavily on AI for work tasks can lead to a phenomenon known as cognitive offloading, where users become overly dependent on AI's confident answers and may not develop critical thinking skills.
To combat this, a study conducted at a U.S. public university found that intentionally using AI to challenge one's own ideas can significantly improve performance. By prompting AI to generate opposing viewpoints, knowledge workers can uncover new perspectives and insights that they might otherwise overlook. For example, a marketing professional asked AI to create virtual customers who would dislike a product under development, revealing unique customer preferences that the professional had not considered.
Similarly, an attorney used AI to uncover legal loopholes and ethical dilemmas that might otherwise go unnoticed. To help knowledge workers effectively use AI, leaders can encourage them to develop "friction-generating" queries, such as asking AI to present opposing viewpoints or challenge assumptions. This can be facilitated through prompts that deliberately contradict the user's perspective.
Additionally, organizations can provide resources such as AI boot camps, workshops, and sandboxes to help workers understand the capabilities and limitations of AI tools. By fostering a culture of curiosity and critical thinking when interacting with AI, knowledge workers can harness its potential to improve their work while still relying on their own expertise and experiences.
Written by urgent.news from The Conversation's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
