Ignoring the need for robust assessment of AI's judgment capabilities in computational biology could lead to ineffective models that misinterpret complex data, ultimately compromising research outcomes. PMs must prioritize building systems that can adaptively handle ambiguity and iterative decision-making to ensure scientific integrity and reliability.