At VB Transform 2024, International Business Machines' David Cox delivered a convincing rationale for transparent advancement in enterprise machine learning. The speaker, VP of AI models and director at the MIT-IBM Watson AI Lab, stressed the significance of collaboration in innovation, notably in the modern AI landscape.
Cox highlighted the nuanced nature of openness in AI, challenging the binary understanding of the principle. He observed the expanding network of accessible frameworks from diverse origins, including tech giants, universities, and nation-states.
Nonetheless, he articulated worries about the nature of openness in various AI language systems, observing that certain models provide little more than a set of numerical values devoid of clarity in their production methods.