Ratio Working Paper 355Ladda ner
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.
Bjuggren, P.O. & Long, V. The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?. Ratio Working Paper No. 355. Stockholm: Ratio.