International Business Machines pushes for transparent development in enterprise AI

International Business Machines pushes for transparent development in enterprise AI

Blog Article

At the technology summit, IBM's Cox presented a persuasive rationale for collaborative development in business machine learning. Cox, VP of artificial intelligence systems and head at the MIT-IBM Watson AI Lab, stressed the significance of transparency in tech progress, especially in the present AI landscape.
Cox highlighted the nuanced nature of openness in AI, contesting the two-dimensional understanding of the principle. He noted the expanding network of accessible frameworks from diverse origins, including tech giants, universities, and nation-states.
Nonetheless, he articulated worries about the quality 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.