2025-2026 Topic: Develop the Means, Procedures, and/or Processes to Validate the Output of Generative AI Models in Conducting Scientific and Technical Analysis

Large Language Models and Generative Artificial Intelligence are already beginning to significantly alter the workplace and portend a major technological disruption. Their ability to generalize and extract relationships within their vast embedded knowledge has significant potential with far reaching impact.  While their initial adoption in common tasks, with a knowledgeable human reviewer, have proven effective, their use in conducting more detailed scientific and technical analysis requires further scrutiny.  LLM and neural networks in general will provide a response whether it is factually correct on not.  There are plenty of (and sometimes funny) anecdotes where they have produced responses, that to a human expert, are obviously incorrect.  Yet, they are being used in applied in ever increasing fields and their ability to find hidden relationships in data can exceed that of the human expert.  Therefore, to fully exploit the technology, means must be developed to provide a measure of technical assurance that the output is correct.