Socio-humanitarian framework for evaluating innovations in the field of artificial intelligence

Abstract

The paper addresses the issue of identification the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations using artificial intelligence (AI) technologies. The analysis of basic concepts, standards and criteria for evaluating innovations has been carried out; an analytical review of foreign scientific publications was made. It is shown that modern systems for assessing innovations related to digital technologies and AI place the main emphasis on technological factors in the development of innovations. Social value orientations, including defining the ethical dimensions and social consequences of the malicious use of AI was identified; the analysis of innovation models in the context of quality management and differentiation of semantics of AI models is carried out. As a result, a classification of various types of AI was constructed, taking into account the social and humanitarian grounds for constructing criteria for assessing the impact of various factors on the development of innovations in the field of AI. It allows to increase the reputation potential of companies developing AI systems and AI systems themselves, to counter negative trends in the field of ethics associated with the use of digital technologies and AI.