At VB Transform 2024, International Business Machines' David Cox presented a compelling argument for transparent advancement in enterprise machine learning. Cox, VP of artificial intelligence systems and leader at the collaborative research center, emphasized the significance of transparency in innovation, notably in the modern machine learning environment.
Cox highlighted the nuanced nature of openness in artificial intelligence, questioning the simplistic perception of the idea. He noted the expanding network of accessible frameworks from diverse origins, including technology corporations, universities, and nation-states.
However, he articulated reservations about the standard of transparency in numerous Large Language Models, noting that a number of them deliver scarcely more than a set of numerical values lacking transparency in their production methods.