Scandinavian Working Papers in Economics

Ratio Working Papers,
The Ratio Institute

No 355: 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 () and Per-Olof Bjuggren ()
Additional contact information
Vicky Long: The Ratio Institute, Postal: The Ratio Institute, P.O. Box 5095, SE-102 42 Stockholm, Sweden
Per-Olof Bjuggren: The Ratio Institute, Postal: The Ratio Institute, P.O. Box 5095, SE-102 42 Stockholm, Sweden

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

JEL-codes: D23; K10; K24; L14; L86; O30

Language: English

44 pages, May 5, 2022

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