Data sharing concepts: a viable system model diagnosis

Purpose Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained the biometrical sensors embedded in smart devices. The currently used data collecting approach, where ownership and property rights are taken scientists, designers of a device or related application, delivers multiple ethical, sociological governance concerns. In this paper, author opening systemic examination sharing concept which producers execute their rights. Design/methodology/approach Since substantially different alternative, it needs to thoroughly examined from perspectives, among them: social feasibility. At stage, theoretical modes form literature analysis mental model development being performed. Findings Data concepts, framework, mechanisms swift viability examined. determined that could lead virtuous science augmenting producers' capacity govern regulators' interact process. Truly interdisciplinary research proposed follow up on research. Research limitations/implications proposal theoretical, may not provide direct applicative value but largely focussed fuelling directions. Practical implications For researchers, concepts will an alternative approach help resolve ethical considerations internet things (IoT) approach. practitioners science, numerous new challenges, such as distributed storing, intelligent protocols. Social post significant development. legislative moral trust-related issues managed negotiation process, shared freely, practical sense expands pool for sciences. Originality/value paper opens directions space field