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Cognitive Safety as the Basic Condition for Digitization of Cultural Heritage

  • Mikhail Iu. ZakharovEmail author
  • Irina E. Starovoytova
  • Anastasia V. Shishkova
Conference paper
  • 42 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1100)

Abstract

The article considers the problems arising in information society due to the necessity of digitization of cultural heritage: cognitive impoverishment of the society; commodification of knowledge; difficulty of separation of valuable knowledge from the communal information realm for its transfer to future generation; determination of cultural value of knowledge; inadequacy of computer security for protection of knowledge; digitization of tacit knowledge. The article focuses on difficulties of presentation and transfer of knowledge falling beyond the scope of the paradigm of scientific rationality – tacit (silent) knowledge. Methodology: In the study, the following classical theoretical philosophical methods were used: generalization, analogy, abstraction, analysis and synthesis. Moreover, the authors applied the comparative method, logical and gnoseological analysis and analytical and descriptive method for preliminary systematization of the accumulated data. Results: 1. An analysis of the features of tacit knowledge from ancient times (Laozi) to modern day is presented; problems and prospects of transformation of tacit knowledge into explicit knowledge in the context of current information technologies (including machine learning and artificial intelligence) are discussed. 2. An argument is made that studies in the area of tacit knowledge will help improve the model of human behavior and therefore promote further development of artificial intelligence. 3. The problem of information security in the modern society is considered: the authors conclude that a broader concept – cognitive safety – should be introduced and further developed. In the framework of cognitive safety, the problem of protection of communal intellectual and spiritual heritage can be solved. Recommendations: The presented results can be used in further studies of the problem of cultural heritage digitization, in development of applications and guidelines for a wide circle of state, commercial and non-profit organizations and institutions to be put in practice.

Keywords

Cultural heritage Digitization Cognitive safety Tacit knowledge Artificial intelligence 

JEL Code

Z10 0330 

References

  1. Anderson, J.R.: Acquisition of cognitive skill. Psychol. Rev. 89(4), 369–406 (1982)CrossRefGoogle Scholar
  2. Bloomfield, B.P.: Expert systems and human knowledge: a view from the sociology of science. AI Soc. 2(1), 17–29 (1988)CrossRefGoogle Scholar
  3. Hayes-Roth, F., Waterman, D.A., Lenat, D.B. (eds.): Building Expert Systems. Addison-Wesley, London (1983)Google Scholar
  4. Carlsson, C.: Decision Analytics – Key to Digitalisation. Inf. Sci. 460–461, 424–438 (2017)Google Scholar
  5. Castaneda, D.I., Toulson, P.: The effectiveness of electronic tools to share knowledge. In: Proceedings of the 13th International Conference on e-Learning ICEL, vol. 2018, pp. 46–51 (2018)Google Scholar
  6. Collins, H.M.: Tacit and Explicit Knowledge. University of Chicago Press, Chicago (2010)CrossRefGoogle Scholar
  7. Collins, H.M., Green, R.H., Draper, R.C.: Where’s the expertise: expert systems as a medium of knowledge transfer. In: Merry, M. (ed.) Expert System 1985: Proceedings or the 5th Technical Conference of the British Computer Society Specialist Group on Expert Systems, pp. 323–334. Cambridge University Press, Cambridge (1985)Google Scholar
  8. Cooke, N.M., Mcdonald, J.E.: A formal methodology for acquiring and representing expert knowledge. Proc. IEEE 74(10), 1422–1430 (1986)CrossRefGoogle Scholar
  9. Fenstermacher, K.D.: The tyranny of tacit knowledge: what artificial intelligence tells us about knowledge representation. In: Proceedings of the Annual Hawaii International Conference on System Sciences, p. 243 (2005)Google Scholar
  10. Gascoigne, N., Thornton, T.: Tacit Knowledge. Acumen, Durham (2013)Google Scholar
  11. Gulick, W.: Relating Polanyi’s tacit dimension to social epistemology: three recent interpretations. Soc. Epistemol. 30(3), 297–325 (2015)CrossRefGoogle Scholar
  12. Lao, T., Mitchell, S. (trans.).: Tao Te Ching: A New English Version (Perennial Classics), Harper Perennial Modern Classics, (2006). (Reprint edition, 5 September 2006)Google Scholar
  13. Lyman, P., Varian, H.R.: How much information. Release of the University of California, 27 October 2003. http://groups.ischool.berkeley.edu/archive/how-much-info-2003/. Accessed 15 Sept 2018
  14. Lyotard, J.-F.: The Postmodern Condition (1979). Manchester University Press, Manchester (1984)Google Scholar
  15. Nonaka, I., Takeuchi, H.: The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press, Oxford (1995)Google Scholar
  16. Ocegueda-Miramontes, V., Rodríguez-Díaz, A., Castro, J.R., Sanchez, M.A., Mendoza, O.: On modeling tacit knowledge for intelligent systems. In: Sanchez, M., Aguilar, L., Castañón-Puga, M., Rodríguez-Díaz, A. (eds.) Computer Science and Engineering—Theory and Applications. Studies in Systems, Decision and Control, vol. 143, pp. 69–87. Springer, Cham (2018)CrossRefGoogle Scholar
  17. Orazbayev, S.: International knowledge flows and the administrative barriers to mobility. Res. Policy 46(9), 1655–1665 (2017)CrossRefGoogle Scholar
  18. Polanyi, M.: Personal knowledge. Towards a Post-Critical Philosophy, Routledge, London, first published 1958 (1958). (corrected edition 1962)Google Scholar
  19. Sanzogni, L., Guzman, G., Busch, P.: Artificial intelligence and knowledge management: questioning the tacit dimension. Prometheus 35(1), 37–56 (2017)CrossRefGoogle Scholar
  20. Turner, S.P.: Understanding the Tacit. Routledge Studies in Social and Political Thought, vol. 81. Routledge, New York (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mikhail Iu. Zakharov
    • 1
    Email author
  • Irina E. Starovoytova
    • 1
  • Anastasia V. Shishkova
    • 1
  1. 1.State University of ManagementMoscowRussian Federation

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