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New report aims to help organizations develop and deploy more trustworthy artificial intelligence (AI) technologies
A new CLTC white paper, A Taxonomy of Trustworthiness for Artificial Intelligence: Connecting Properties of Trustworthiness with Risk Management and the AI Lifecycle, by Jessica Newman, Director of CLTC’s AI Security Initiative (AISI) and Co-Director of the UC Berkeley AI Policy Hub, is a complement to the newly released AI Risk Management Framework (AI RMF), a resource developed by the U.S. National Institute of Standards and Technology to improve transparency and accountability for the rapid development and implementation of AI throughout society.
