Data Markets to support AI for All: Pricing, Valuation and Governance
Computers and Society
2019-05-17 v1 Artificial Intelligence
Distributed, Parallel, and Cluster Computing
Machine Learning
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).
Cite
@article{arxiv.1905.06462,
title = {Data Markets to support AI for All: Pricing, Valuation and Governance},
author = {Ramesh Raskar and Praneeth Vepakomma and Tristan Swedish and Aalekh Sharan},
journal= {arXiv preprint arXiv:1905.06462},
year = {2019}
}
Comments
7 pages, 2 figures