At the VentureBeat conference, International Business Machines' David Cox presented a persuasive 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 current AI landscape.
Cox highlighted the nuanced nature of openness in machine learning, contesting the two-dimensional understanding of the principle. He observed the burgeoning community of transparent systems from multiple providers, including industry leaders, research centers, and governments.
Nevertheless, he voiced worries about the quality of openness in many AI language systems, pointing out that a number of them offer barely more than a collection of data points without transparency in their creation techniques.