At VB Transform 2024, IBM's Cox delivered a convincing case for open innovation in business machine learning. Cox, VP of machine learning frameworks and director at the MIT-IBM Watson AI Lab, stressed the crucial nature of collaboration in technological advancement, particularly in the current machine learning environment.
Cox highlighted the nuanced nature of openness in machine learning, contesting the binary understanding of the principle. He observed the burgeoning community of transparent systems from multiple providers, including industry leaders, research centers, and governments.
Nonetheless, he voiced worries about the nature of openness in many AI language systems, pointing out that a number of them offer scarcely more than a collection of data points lacking transparency in their production methods.