How should Marcus have Gen AI unveil hidden assumptions in his decision?

Asking Gen AI to indicate any assumptions made is a strategic approach to uncovering hidden biases or perspectives that may influence decision-making. This method directly targets the underlying beliefs or premises that are often unspoken, allowing Marcus to identify any flawed reasoning or overlooked elements that could impact the outcome of his decision.

In contrast, running a perspective simulation may be useful for considering different viewpoints, but it doesn't specifically focus on revealing assumptions. Requesting outside assumptions involves gathering external beliefs, which may not necessarily address the specific assumptions Marcus has regarding his decision. Summarizing the decision could provide a concise overview, but it wouldn't delve into the underlying assumptions that need to be examined for a more informed choice. By pinpointing assumptions directly, Marcus can engage critically with his thought process and potentially enhance the quality of his decision-making.