Sketching An Ai Marketplace: Tech, Economic, And Regulatory Aspects

IEEE ACCESS(2021)

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摘要
Artificial intelligence shows promise for solving many practical societal problems in areas such as healthcare and transportation. However, the current mechanisms for AI model diffusion such as Github code repositories, academic project webpages, and commercial AI marketplaces have some limitations; for example, a lack of monetization methods, model traceability, and model auditabilty. In this work, we sketch guidelines for a new AI diffusion method based on a decentralized online marketplace. We consider the technical, economic, and regulatory aspects of such a marketplace including a discussion of solutions for problems in these areas. Finally, we include a comparative analysis of several current AI marketplaces that are already available or in development. We find that most of these marketplaces are centralized commercial marketplaces with relatively few models.
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关键词
Artificial intelligence, Data models, Regulation, Training, Companies, Adaptation models, Training data, AI marketplace, privacy, AI regulation, AI ethics, AI trade
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