Information, knowledge and results of intellectual activity in the IP system

in the context of technological development, knowledge and intellectual property (IP) are becoming key drivers of innovation. The article covers establishing the relationship between the most important concepts of the IP system, namely “information”, “knowledge”, “result of intellectual activity” (RIA) and “object of protected IP” in order to further apply the identified relationship in artificial intelligence (AI) systems. To achieve this goal, it becomes necessary to integrate philosophical, legal and economic approaches to understanding RIA from the standpoint of IP within the framework of the knowledge cycle with the carrier “knowledge” and with the carrier “information”. To do this, the following tasks are set: to analyze the philosophical foundations of RIA (according to G.V.F.Hegel and K. Popper); to characterize the properties of knowledge as a resource; to determine the role of exclusive rights in creating the “rarity” of knowledge; to substantiate the nature of the “social contract” and identify the “convertibility”, similarities and differences between information and knowledge (based on Wiener’s work), as well as to establish the possibility of an adequate representation within the framework of classical and fuzzy logic of the connection between the “IP object” (OIP) and “RIA” for subsequent application in AI systems. The research is based on a systematic approach and philosophical and legal analysis. Logical constructions and comparison of categories are used to understand the phenomenon of objectification of knowledge and subjectification of information. Taking into account the revealed transformation mechanism, the novelty lies in distinguishing the philosophical (broad) and legal (narrow) scope of the RIA concept. The scientific novelty is stated by the author through the sphere of demarcation of the philosophical and legal scope of the concepts of RIA and is reduced to the analysis of the convertibility of the pair of concepts “information” and “knowledge” representing RIA and its binding to the concept of “protected IP object”. For the first time, the research uses the apparatus of binary logical operations and the implication “If … then …” to formalize the logical-ontological relationship between the categories “OIP” and “RIA”. The practical conclusion is that the category of “Protected IP object”, which includes protected, protectable and unprotected IP, cannot be adequately represented within the framework of classical logic, “modus ponens”, but are based on approximate judgments and require the use of fuzzy logic. This means that in practical applications (IC modeling, AI, etc.), it is necessary to use fuzzy neural networks (FNS). It is shown that IP turns knowledge into a commodity through a legal monopoly. The conclusion is made: the informational nature of the RIA does not absorb its IP legal regime. The relationship between OIP and RIA is represented through truth tables within the framework of classical and fuzzy logic. The findings are applicable to improving legislation and asset management in the digital environment. Further research will focus on the impact of artificial intelligence on the turnover of knowledge in the digital environment and the use of the results in fuzzy neural networks.

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