1. Data Markets to support AI for All: Pricing, Valuation and Governance
- Author
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Raskar, Ramesh, Vepakomma, Praneeth, Swedish, Tristan, and Sharan, Aalekh
- Subjects
FOS: Computer and information sciences ,Computer Science - Computers and Society ,Computer Science - Machine Learning ,Artificial Intelligence (cs.AI) ,Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Science - Artificial Intelligence ,Computers and Society (cs.CY) ,Distributed, Parallel, and Cluster Computing (cs.DC) ,Machine Learning (cs.LG) - Abstract
We discuss a data market technique based on intrinsic (relevance and uniqueness) as well as extrinsic value (influenced by supply and demand) of data. For intrinsic value, we explain how to perform valuation of data in absolute terms (i.e just by itself), or relatively (i.e in comparison to multiple datasets) or in conditional terms (i.e valuating new data given currently existing data)., 7 pages, 2 figures
- Published
- 2019