Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?

Vicky Long (vicky.long@ratio.se) and Per-Olof Bjuggren (p-o.bjuggren@ratio.se)
Additional contact information
Vicky Long: The Ratio Institute, Postal: The Ratio Institute, P.O. Box 5095, SE-102 42 Stockholm, Sweden, https://ratio.se/medarbetare/vicky-long/
Per-Olof Bjuggren: The Ratio Institute, Postal: The Ratio Institute, P.O. Box 5095, SE-102 42 Stockholm, Sweden, https://ratio.se/medarbetare/per-olof-bjuggren/

No 355, Ratio Working Papers from The Ratio Institute

Abstract: This paper decomposes the factors that govern the access and sharing of machine-generated industrial data in the artificial intelligence era. Through a mapping of the key technological, institutional, and firm-level factors that affect the choice of governance structures, this study provides a synthesised view of AI data-sharing and coordination mechanisms. The question to be asked here is whether the hitherto de facto control—bilateral contracts and technical solution-dominating industrial practices in data sharing—can handle the long-run exchange needs or not.

Keywords: Artificial intelligence (AI); governance structure; intellectual property rights (IPRs); data trade; industrial data (search for similar items in EconPapers)
JEL-codes: D23 K10 K24 L14 L86 O30 (search for similar items in EconPapers)
Pages: 44 pages
Date: 2022-05-05
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ino, nep-law and nep-tid
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