Selflearning neural networks at a modern museum’s service: possibilities and problems of application

The article briefly describes some basic possibilities of application of artificial intelligence-powered computer online systems in modern Russian museum institutions to perform work tasks in key fields of their activity, such as systematic record keeping of museum collections, museum exhibition activities, expert investigation, examination and restoration of museum items, management of museum web presence, research activities, resource management, optimization of the quality of museum services for offline visitors and online users. Authors point out the specific purposes of using artificial neural network systems in the domestic museum sphere: automation of the process of making a full-bodied creative content (of various types - text, illustrative, audio and video) for corporative Internet sites of museums; translation of audio and video recordings into text (transcription); design and testing of museum digital products (applications, guides, etc.); preparation of museum events scripts; comprehensive analysis of various data on consumers of museum services; setting the scene for familiarization, educational, gaming interaction of remote users with digital copies of museum objects; predictive modelling (for example, for the development of the managerial situation) based on the analysis of representative statistical data and many others. The paper gives a description of some problems in usage popular neural network software products in mass museum practice, including the weakness of the material-and-technical base of institutions manifested in software and hardware limitations, the insufficient level of development of special digital competencies of museum staff, the risks of issuing false and difficult-to-verify information at the request of users, the threat of the weakening of the museum workers’ professional skills as a result of the assignment of a number of labor functions (including managerial type as well) to neural network projects, etc. The authors declare no conflicts of interests.

Keywords

Authors

References