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A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms

, New York, NY, USA, 2011, pp. 104-109. [25] S. Fauvel and H. Yu, A Survey on Artificial Intelligence and Data Mining for MOOCs, SciRate, 2016. [26] L. C. Lin and . A. J. Prez, Educational Data Mining and Learning Analytics: differences, similarities, and time evolution,” Rev. Univ. Soc. Conoc., vol. 12, no. 3, pp. 98-112, 2015. [27] G. Siemens and R. S. J. d. Baker, Learning Analytics and Educational Data Mining: Towards Communication and Collaboration, in Proceedings of the 2Nd International Conference on Learning

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Why Are We Afraid of Artificial Intelligence (Ai)?

REFERENCES McCarthy, J. (2007). What is Artificial Intelligence ? Available online: http://www-formal.stanford.edu/jmc/ (accessed on 11 September 2018) Dziţac, I. (2008). Inteligență artificială , Arad, Ed. Universității „Aurel Vlaicu”. The English Oxford Living Dictionary , Available online: https://en.oxforddictionaries.com/definition/us/artificial_intelligence (accessed on 22 September 2018). The Encyclopaedia Britannica , Available online: https://www.britannica.com/technology/artificial-intelligence (accessed on 22 September

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Innovative Devops for Artificial Intelligence

Vision and Pattern Recognition Going Deeper with Convolutions, In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [4] K. Wongsuphasawat et al., Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow, IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 1-12, Jan. 2018. [5] Rutkowski, Leszek, Image classification with recurrent attention models, In: Artificial Intelligence and Soft Computing, 11th International Conference, ICAISC 2012, Zakopane, Poland, April 29 -May 3, 2012: Proceedings. Springer

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A “psychopathic” Artificial Intelligence: the possible risks of a deviating AI in Education

References Almohammadi, K., Hagras, H., Alghazzawi, D., Aldabbagh, G. (2017). A survey of artificial intelligence techniques employed for adaptive educational systems within e-learning platforms. Journal of Artificial Intelligence and Soft-Computing Research , 7(1), 47-64. Amini, A., Soleimany, A., Schwarting, W., Bhatia, S., Rus, D., (2019). Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure, Conference on Artificial Intelligence, Ethics and Society. Athalye, A, Engstrom, L., Ilyas, A., Kwok, K., (2018). Synthesizing

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Towards Artificial Intelligence. Sociological Reflections on the Relationship Man - Organization - Device

company: how Japanese companies create the dynamics of innovation , New York: Oxford University Press, USA Przegląd Strategii Rozwoju Sztucznej Inteligencji na Świecie 2018. Fundacja Digital Poland, Wydanie I, Warszawa, Poland. Russell S. J., Norvig P., 2003. Artificial Intelligence: A Modern Approach , Prentice Hall, New Jersey, USA. Senge P. M., 1990. The Fifth Discipline: The art and practice of the learning organization , Doubleday, New York, USA. Suchacka M., 2014. Transformacja regionu przemysłowego w kierunku regionu wiedzy. Studium

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Artificial Intelligence in Knowledge Management: Overview and Trends

References Maier, R. Knowledge Management Systems. 3rd ed., Springer-Verlag Berlin. 2007, 720 p. Metaxiotis, K. et.al. Decision support through knowledge management: the role of the artificial intelligence. Information Management & Computer Security , Vol. 11, No. 5, 2003, pp. 216-221. Fernandes, A. A. A. Combining Inductive and Deductive Inference in Knowledge Management Tasks. In: Proceedings of the 11th International Workshop on Database and Expert Systems Applications DEXA

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Artificial Intelligence as a Means to Moral Enhancement

-500. Picard, R. W. (2000). Affective Computing, MIT Press. Plato (1997). Plato: complete works. Indianapolis, Hackett. Rowe, C. J., & Broadie, S. (2002). Nicomachean ethics. Oxford University Press, USA. Sauer, J., et al. (2015). “Experience of automation failures in training: effects on trust, automation bias, complacency and performance.” Ergonomics: 1-14. Savulescu, J. and H. Maslen (2015). Moral Enhancement and Artificial Intelligence: Moral AI? Beyond Artificial Intelligence, Springer: 79

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Artificial intelligence methods in diagnostics of analog systems

European Conference on Circuits Theory and Design, Cracow, Poland , Vol. 3, pp. III-313–316. Sałat, R. and Osowski, S. (2011). Support vector machine for soft fault location in electrical circuits, Journal of Intelligent and Fuzzy Systems 22 (1): 21–31. Samanta, B. and Nataraj, C. (2009). Use of particle swarm optimization for machinery fault detection, Engineering Applications of Artificial Intelligence 22 (2): 308–316. Simani, S. (2013). Residual generator fuzzy identification for automotive diesel engine fault diagnosis, International Journal of Applied

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Organizational knowledge management with Big Data. The foundation of using artificial intelligence

Paradigms, Campridge, Elsevier Cleve, J., Lämmel, U. (2012) Künstliche Intelligenz, München, Germany, Carl Hanser Verlag Copeland, M. (2016) What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?, Retrieved April, 29.2017 from https://blogs.nvidia.com/blog/2016/07/29/whatsdifference-artificial-intelligence-machine-learning-deep-learning-ai/ Drucker, P. F. (1999), Management Challenges for the 21 Century, New York Harper Collins Frost, A. (2017) Defining Knowledge

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Application of Artificial Intelligence in Investment Banks

.1080/08956308.1994.11670951 4. Donner, J., & Tellez, C. A. (2008). Mobile banking and economic development: linking adoption, impact, and use. Asian Journal of Communication, 18(4), 318-332. doi: 10.1080/01292980802344190 5. Erdélyi, O. J., & Goldsmith, J. (2018). Regulating Artificial Intelligence Proposal for a Global Solution. Paper presented at the AAAI/ACM Conference on Artificial Intelligence, Ethics and Society. 6. Lagarde, C. J. I. T., Governance, Globalization. (2018). Central Banking and Fintech: A Brave New World. 12(1-2), 4-8. 7

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