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

PublikationWorking paper
Artificiell intelligens, Immaterialrätt, Industriell data
Ratio Working Paper 355
Ladda 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.

Liknande innehåll

Artificial Intelligence and Management: The Automation-Augmentation Paradox
Artikel (in press)Publikation
Raich, S. & Krakowski, S.



Taking three recent business books on artificial intelligence (AI) as a starting point, we explore the automation and augmentation concepts in the management domain. Whereas automation implies that machines take over a human task, augmentation means that humans collaborate closely with machines to perform a task. Taking a normative stance, the three books advise organizations to prioritize augmentation, which they relate to superior performance. Using a more comprehensive paradox perspective, we argue that, in the management domain, augmentation cannot be neatly separated from automation. These dual AI applications are interdependent across time and space, creating a paradoxical tension. Over-emphasizing either augmentation or automation fuels reinforcing cycles with negative organizational and societal outcomes. However, if organizations adopt a broader perspective comprising both automation and augmentation, they could deal with the tension and achieve complementarities that benefit business and society. Drawing on our insights, we conclude that management scholars need to be involved in research on the use of AI in organizations. We also argue that a substantial change is required in how AI research is currently conducted in order to develop meaningful theory and to provide practice with sound advice.

Working Paper No. 177. The dominant Law and Economics paradigm regarding “Intellectual Property” – a vehicle or an obstacle for innovation, growth and progress?
Working paperPublikation
Salzberger, E.


Publicerat i

Ratio Working Paper


The term “intellectual property” is a relatively a modern term, first used in its current meaning when the UN established the World Intellectual Property Organization (WIPO) in 1967. Beforehand laws around the world protected various aspects of informational goods – inventions and creations – using separate legal concepts, such as copyright, patents and trademarks, which were not perceived as property rights. This linguistic aspect is by no means anecdotal or marginal as it can be argued that the term “intellectual property” constituted its contemporary meaning including the economic analysis of informational goods and services, as can be demonstrated by the recent call to treat trade secrets not as a contractual agreement but as intellectual property (Epstein, 2005). This paper focuses on the normative analysis of IP rights and criticizes the implicit shift in economic analysis of IP from the incentives paradigm, which is founded upon the public good analysis of neo-classical micro-economic theory, to the new propriety paradigm, which is intellectually founded upon the tragedy of the commons literature. It further criticizes the dominant contemporary Law and Economics writings in this field as pre-assuming information to be an object of property, overlooking its fundamental differences from physical property and thus focusing on its management and maximization of value for its “owners” rather than on its initial justifications and its social value and contribution to innovation, growth and progress.

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