International Business Machines pushes for transparent development in enterprise AI

International Business Machines pushes for transparent development in enterprise AI

Blog Article

At the VentureBeat conference, IBM's David Cox showcased a compelling case for transparent advancement in enterprise artificial intelligence. The speaker, Vice President of AI models and director at the joint MIT and IBM artificial intelligence laboratory, stressed the crucial nature of collaboration in technological advancement, particularly in the current machine learning environment.
David emphasized the multifaceted essence of accessibility in machine learning, contesting the two-dimensional understanding of the idea. He noted the expanding network of accessible frameworks from various sources, including tech giants, universities, and nation-states.
Nonetheless, he articulated worries about the nature of openness in many AI language systems, pointing out that certain models offer barely more than a "bag of numbers" without openness in their creation techniques.