IBM advocates for collaborative advancement in corporate machine learning

IBM advocates for collaborative advancement in corporate machine learning

Blog Article

At the technology summit, IBM's Cox delivered a convincing case for transparent advancement in enterprise artificial intelligence. The speaker, Vice President of AI models and head at the joint MIT and IBM artificial intelligence laboratory, underscored the importance of openness in tech progress, especially in the present machine learning environment.
Cox highlighted the nuanced character of transparency in artificial intelligence, questioning the simplistic perception of the idea. He noted the expanding network of accessible frameworks from diverse origins, including technology corporations, academic institutions, and countries.
Nevertheless, he expressed concerns about the quality of openness in various AI language systems, observing that certain models provide barely more than a "bag of numbers" without openness in their creation techniques.