Otwarty dostęp

Cognitive Technologies and Artificial Intelligence in Social Perception


Zacytuj

[1] https://www.techopedia.com/definition/32482/cognitive-technology (accessed: January 05, 2022). Search in Google Scholar

[2] G. Elia and A. Margherita. „A conceptual framework for the cognitive enterprise: pillars, maturity, value drivers”. Technology Analysis and Strategic Management, 2021. https://doi.org/10.1080/09537325.2021.190187410.1080/09537325.2021.1901874 Search in Google Scholar

[3] J.C. Hollowell, B. Kollar, J. Vrbka and E. Kovalova. „Cognitive Decision-Making Algorithms for Sustainable Manufacturing Processes in Industry 4.0: Networked, Smart, and Responsive Devices”. Economics. Management and Financial Markets, 14 (4), 2019. pp. 9-15.10.22381/EMFM14420191 Search in Google Scholar

[4] I. Irtyshcheva, A. Sukhostavets, V. Falovych, O. Kovbasa, O. Liashok and E. Kolesnik. „Modelling the Innovative Competitiveness of an Enterprise with a Change in Investment Provision. Studies of Applied Economics”, 39 (5), 2021. http://doi.org/10.25115/eea.v39i5.504110.25115/eea.v39i5.5041 Search in Google Scholar

[5] V. Tkachenko, A. Kuzior and A. Kwilinski. „Introduction of artificial intelligence tools into the training methods of entrepreneurship activities”. Journal of Entrepreneurship Education, 22(6), 2019. pp. 1-10. Retrieved from https://www.abacademies.org/articles/Introduction-ofartificialintelligence-tools-1528-2651-22-6-477.pdf Search in Google Scholar

[6] A. Kwiliński, J. Polcyn, K. Pająk and S. Stępień. „Implementation of Cognitive Technologies in the Process of Joint Project Activities: Methodological Aspect”. Proceedings of the 2021 VIII International Scientific Conference Determinants of Regional Development, No 2, Pila 21-22 October 2021. Search in Google Scholar

[7] A. Kwilinski and A. Kuzior. „Cognitive technologies in the management and formation of directions of the priority development of industrial enterprises”, Management Systems in Production Engineering, 28(2), 2020. pp. 133-138.10.2478/mspe-2020-0020 Search in Google Scholar

[8] H. Issa, T. Ting Sun and M. A. Vasarhelyi. „Research Ideas for Artificial Intelligence in Auditing: The Formalization of Audit and Workforce Supplementation”. Journal of Emerging Technologies in Accounting, 13 (2), 2016. pp. 1-20. https://doi.org/10.2308/jeta-1051110.2308/jeta-10511 Search in Google Scholar

[9] J. Kokina and T.H. Davenport. „The Emergence of Artificial Intelligence: How Automation is Changing Auditing”. Journal of Emerging Technologies in Accounting, 14 (1), 2017. pp. 115-122. https://doi.org/10.2308/jeta-5173010.2308/jeta-51730 Search in Google Scholar

[10] A. Kwilinski. „Implementation of blockchain technology in accounting sphere”. Academy of Accounting and Financial Studies Journal, 23(2), 2019. pp. 1-6. Search in Google Scholar

[11] K. Omoteso. „The application of artificial intelligence in auditing: Looking back to the Future”. Expert Systems with Applications, 39 (9), 2012. pp. 8490-8495. https://doi.org/10.1016/j.eswa.2012.01.09810.1016/j.eswa.2012.01.098 Search in Google Scholar

[12] M.A. Pérez-Juárez, J.M. Aguiar-Pérez, M. Alonso-Felipe, J. Del-Pozo-Velázquez, S. Rozada-Raneros and M. Barrio-Conde. „Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services”. In: Next-Generation Applications and Implementations of Gamification Systems, 2022. pp. 187-204. https://doi.org/10.4018/978-1-7998-8089-9.ch01010.4018/978-1-7998-8089-9.ch010 Search in Google Scholar

[13] G.D.B. Swankie and D. Broby. „Examining the Impact of Artificial Intelligence on the Evaluation of Banking Risk”. Pre-print/Working Paper. University of Strathclyde, Glasgow 2019. https://strathprints.strath.ac.uk/70815/1/Swankie_Broby_2019_Examining_the_impact_of_artificial_intelligence_on_the_evaluation_of_banking_risk.pdf Search in Google Scholar

[14] N. Dhanda. „Cryptocurrency and Blockchain: The Future of a Global Banking System”. In: Regulatory Aspects of Artificial Intelligence on Blockchain, 2022. pp. 181-204. https://doi.org/10.4018/978-1-7998-7927-5.ch00910.4018/978-1-7998-7927-5.ch009 Search in Google Scholar

[15] S.V. Jaiwant. „Artificial Intelligence and Personalized Banking”. In: Handbook of Research on Innovative Management Using AI in Industry 5.0, 2022. pp. 74-87. https://doi.org/10.4018/978-1-7998-8497-2.ch00510.4018/978-1-7998-8497-2.ch005 Search in Google Scholar

[16] A. Kwilinski, V. Tkachenko and A. Kuzior. „Transparent cognitive technologies to ensure sustainable society development”. Journal of Security and Sustainability Issues, 9(2), 2019). pp. 561-570. http://doi.org/10.9770/jssi.2019.9.2(15)10.9770/jssi.2019.9.2(15) Search in Google Scholar

[17] M. Udell, V. Stehel, T. Klieštik, J. Klieštiková and P. Durana. „Towards a Smart Automated Society: Cognitive Technologies, Knowledge Production, and Economic Growth. Economics”, Management, and Financial Markets, 14(1), 2019. pp. 44-49.10.22381/EMFM14120195 Search in Google Scholar

[18] M. Ciolacu, A. F. Tehrani, L. Binder and P.M. Svasta. „Education 4.0 – Artificial Intelligence Assisted Higher Education: Early recognition System with Machine Learning to support Students’ Success”. 2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2018). pp. 23-30. https://doi.org/10.1109/SIITME.2018.8599203.10.1109/SIITME.2018.8599203 Search in Google Scholar

[19] N. Nenkov, Y. Dyachenko, M.P.G. Bondarenko and V. Pustovit. „Intelligent and Cognitive Technologies in Education of International Economic Relations Students and Human Resource Development: Methodology in Language Teaching and Distance Learning”. European Journal of Sustainable Development, 6(4), 2017, 353. https://doi.org/10.14207/ejsd.2017.v6n4p35310.14207/ejsd.2017.v6n4p353 Search in Google Scholar

[20] O. Markova, S. Semerikov, M. Popel. „CoCalc as a learning tool for neural network simulation in the special course Foundations of mathematic informatics”. CEUR Workshop Proceedings, 2104, 2018. pp. 388-403.10.31812/0564/2250 Search in Google Scholar

[21] N.H. Ubaidullah, Z. Mohamed, J. Hamid, S. Sulaiman and R.L. Yussof. „Improving novice students’ computational thinking skills by problem-solving and metacognitive techniques”. International Journal of Learning, Teaching and Educational Research 20(6), 2021. pp. 88-108. https://doi.org/10.26803/IJLTER.20.6.510.26803/ijlter.20.6.5 Search in Google Scholar

[22] P. Fobel and A. Kuzior. „The future (Industry 4.0) is closer than we think. Will it also be ethical?” AIP Conference Proceedings, 2019, 2186, 080003. https://doi.org/10.1063/1.513798710.1063/1.5137987 Search in Google Scholar

[23] B. Hofmann. „Toward a Method for Exposing and Elucidating Ethical Issues with Human Cognitive Enhancement Technologies”. Sci Eng Ethics, 23, 2017. pp. 413-429. https://doi.org/10.1007/s11948-016-9791-010.1007/s11948-016-9791-027376726 Search in Google Scholar

[24] A. Kuzior. Applied ethics, Tygiel, Lublin 2021. Search in Google Scholar

[25] I. Munoko, H.L. Brown-Liburd and M. Vasarhelyi. „The Ethical Implications of Using Artificial Intelligence in Auditing”. J. Bus. Ethics, 167, 2020. pp. 209-234. https://doi.org/10.1007/s10551-019-04407-110.1007/s10551-019-04407-1 Search in Google Scholar

[26] L. Sijing and W. Lan. „Artificial Intelligence Education Ethical Problems and Solutions”. 2018 13th International Conference on Computer Science & Education (ICCSE), 2018. pp. 1-5. https://doi.org/10.1109/ICCSE.2018.8468773.10.1109/ICCSE.2018.8468773 Search in Google Scholar

[27] J.H. Heinrichs. „Neuroethics, Cognitive Technologies and the Extended Mind Perspective. Neuroethics”, 14, 2021. pp. 59-72. https://doi.org/10.1007/s12152-018-9365-810.1007/s12152-018-9365-8 Search in Google Scholar

[28] F.M. Fossen and A. Sorgner. „New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data”. IZA Discussion Paper, 12242, 2019. http://dx.doi.org/10.2139/ssrn.339023110.2139/ssrn.3390231 Search in Google Scholar

[29] M.R. Frank, D. Autor, J.E. Bessen, E. Brynjolfsson, M. Ce-brian, D.J. Deming, M. Feldman, M. Groh, J. Lobo, E. Moro, D. Wang, H. Youn and I. Rahwan. „Toward understanding the impact of artificial intelligence on labor”. Proceedings of the National Academy of Sciences, 116 (14), 2019. pp. 6531-6539. https://doi.org/10.1073/pnas.190094911610.1073/pnas.1900949116645267330910965 Search in Google Scholar

[30] N. Hamaguchi and K. Kondo. „Regional Employment and Artificial Intelligence in Japan”. RIETI Discussion Paper Series 18-E-032, 2018. Search in Google Scholar

[31] C. Mele, T.R. Spena, V. Kaartemo and M.L. Marzullo. „Smart nudging: How cognitive technologies enable choice architectures for value co-creation”. Journal of Business Research, 129, 2021. pp. 949-960. https://doi.org/10.1016/j.jbusres.2020.09.00410.1016/j.jbusres.2020.09.004 Search in Google Scholar

[32] T. Walsh. „Expert and Non-expert Opinion About Technological Unemployment”. Int. J. Autom. Comput., 15, 2019. pp. 637-642. https://doi.org/10.1007/s11633-018-1127-x10.1007/s11633-018-1127-x Search in Google Scholar

[33] D. Desai. „Hyper-Personalization: An AI-Enabled Personalization for Customer-Centric Marketing”. In: Adoption and Implementation of AI in Customer Relationship Management, 2022. pp. 40-53. https://doi.org/10.4018/978-1-7998-7959-6.ch00310.4018/978-1-7998-7959-6.ch003 Search in Google Scholar

[34] S. Dixit. „Artifical Intelligence and CRM: A Case of Telecom Industry”. In: Adoption and Implementation of AI in Customer Relationship Management, 2022. pp. 92-114. https://doi.org/10.4018/978-1-7998-7959-6.ch00610.4018/978-1-7998-7959-6.ch006 Search in Google Scholar

[35] A. Kuzior, A. Lobanova. „Tools of information and communication technologies in ecological marketing under conditions of sustainable development in industrial egions (through examples of Poland and Ukraine)”. Journal of Risk and Financial Management, vol. 13(10), 238. https://doi.org/10.3390/jrfm1310023810.3390/jrfm13100238 Search in Google Scholar

[36] S.A. Bini. „Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?” The Journal of Arthroplasty, 33 (8), 2018. pp. 2358-2361. https://doi.org/10.1016/j.arth.2018.02.06710.1016/j.arth.2018.02.06729656964 Search in Google Scholar

[37] J. Olczak, N. Fahlberg, A. Maki, A.S. Razavian, A. Jilert, A. Stark, O. Sköldenberg. and M. Gordon. „Artificial intelligence for analyzing orthopedic trauma radiographs”. Acta Orthopaedica, 88(6), 2017. pp. 581-586. https://doi.org/10.1080/17453674.2017.134445910.1080/17453674.2017.1344459569480028681679 Search in Google Scholar

[38] A. Kuzior and K. Postrzednik-Lotko. „Natural language and gettering of information”. In: Khalid S. Soliman (Ed.), Proceedings of the 36th International Business Information Management Association (IBIMA), 2020. pp. 13479-13486. Search in Google Scholar

[39] K. Postrzednik-Lotko. „Analysis and synthesis of natural languages”, Tygiel, Lublin 2021. Search in Google Scholar

[40] L.A. Stankevich. „Cognitive Technologies and Artificial Mind for Humanoid Robots”. Studies in Computational Intelligence, 1008 SCI, 2022. pp. 3-8. https://doi.org/10.1007/978-3-030-91581-0_110.1007/978-3-030-91581-0_1 Search in Google Scholar

[41] A.K. Noor. „Potential of Cognitive Computing and Cognitive Systems”. Open Eng., 5, 2015. pp. 75-88. https://doi.org/10.1515/eng-2015-000810.1515/eng-2015-0008 Search in Google Scholar

[42] H.A. Ernst. „MH-1, a computer-operated mechanical hand”. AFIPS Proceedings – 1962 Spring Joint Computer Conference, AFIPS, 1962, 142886, pp. 39-50. https://doi.org/10.1145/1460833.146083910.1145/1460833.1460839 Search in Google Scholar

[43] A. Newell. „Documentation of IPL-V. Communications of the ACM, 6 (3), 1963. pp. 86-89. https://doi.org/10.1145/366274.36629610.1145/366274.366296 Search in Google Scholar

[44] https://www.benchmark.pl/aktualnosci/technologie-kognitywne-staja-sie-megatrendem.html Search in Google Scholar

[45] A. Kuzior, W. Grebski, O. Lyulyov. „Rola etyki w kształceniu inżynierów”. Etyka Biznesu i Zrównoważony Rozwój 1, 2019, pp. 16-28. Search in Google Scholar

[46] A. Kuzior and J. Zozul’ak. „Adaptation of the Idea of Phronesis in Contemporary Approach to Innovation”. Management Systems in Production Engineering, 27(2), 2019. pp. 84-87. https://doi.org/10.1515/mspe-2019-001410.1515/mspe-2019-0014 Search in Google Scholar

[47] M. Grebski. Mobility of the Workforce and Its Influence on Innovativeness Comparative Analysis of the United States and Poland). Production Engineering Archives, 27(4), 2021. pp. 272-276.10.30657/pea.2021.27.36 Search in Google Scholar

[48] M. Grebski and W. Grebski. Project-based approach to engineering technology education. Production Engineering Archives, 25 (25), 2019. pp. 56-59.10.30657/pea.2019.25.11 Search in Google Scholar