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Providing assurance and scrutability on shared data and machine learning models with verifiable credentials
SPECIAL ISSUE PAPER Funding information: Army Research Laboratory / UK Ministry of Defence, W911NF-16-3-0001 Abstract Adopting shared data resources requires scientists to place trust in the originators of the data. When shared data is later used in the development of artificial intelligence (AI) systems or machine learning (ML) models, the trust lineage extends to the users of the system, typically practitioners in fields such as healthcare and finance.
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