SOCIAL ASPECTS OF ARTIFICIAL INTELLIGENCE

1.

Aamoth, D. (2014). Interview with Eugene Goostman, the Fake Kid Who Passed the Turing Test.Time, June 9.2014 http://time.com/2847900/eugene....

Google Scholar

2.

Adamopoulou, E., Moussiades, L. (2020).Chatbots: History, technology, and applications. Machine Learning with Applications, Volume 2, 15 December. https://www. sciencedirect.com/science/article/pii/S2666827020300062.

Google Scholar

3.

Award, M., Khanna R. (2015).Efficient Learning Machines. https://link.springer.com/ content/pdf/10.1007%2F978-1-4302-5990-9.pdf.

Google Scholar

4.

Bettis, R., A., Hu, S.Bounded Rationality, Heuristics, Computational Complexity, and Artificial Intelligence, Behavioral Strategy in Perspective, (Advances in Strategic Management, Vol.39). Emerald Publishing Limited. Bingley, p. 139-150. https://www. emerald.com/insight/content/doi/10.1108/S0742-332220180000039010/full/html.

Google Scholar

5.

Bruns, A. (2017). Echo chamber? What echo chamber? Reviewing the evidence. 6th Biennial Future of Journalism Conference (FOJ17). https://eprints.qut.edu. au/113937/8/Echo_Chamber.pdf.

Google Scholar

6.

Carr, N. (2017). How Smartphones Hijack Our Minds, Wall Street Journal, retreived : Oct.6, 2017. https://cs12.cs.qc.cuny.edu/~w... Hijack%20Our%20Minds%20-%20WSJ.pdf.

Google Scholar

7.

Carr, N. (2010). The Shallows: What the Internet Is Doing to Our Brains.W. W. Norton. New York.

Google Scholar

8.

Cho, H., et al. (2020).Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs, arXivLabs. Cornell University. Retreived: 30 March 2020 https://arxiv.org/pdf/2003.115....

Google Scholar

9.

Cinelli, M. et al. (2021).The echo chamber effect on social media. Proceeding of the National Academy of Sciences of the United States of America. March 2, 118 (9) e2023301118. https://www.pnas.org/content/p....

Google Scholar

10.

Domingos, P. (2015). The Master Algorithm.How the quest for the Ultimate Learning Machine Will Remake Our World. Penguin Random House.

Google Scholar

11.

Glynn, J. (1984).[in:] The New Privacy Threat from China’s Social Credit Surveillance Systems.Skeptic Magazine, Volume 24, Number 2, 2019, p. 38-41. https://www. survivorshandbook.com/wp-content/articles/china-1984.pdf.

Google Scholar

12.

Goertzel, B. (2012). What Counts as a Conscious Thinking Machine? New Scientist. Retreived: 5.09.2012. https://www.newscientist.com/a....

Google Scholar

13.

Gomez-Uribe, C. A., Hunt, N.(2016). The Netflix Recommender System: Algorithms, Business Value, and Innovation. ACM Transactions on Management Information Systems, Volume 6, Issue 4, Article No.: 13, p. 1-19. https://dlacm.org/doi/ abs/10.1145/2843948.292.

Google Scholar

14.

Good, I. J. Speculations concerning the First Ultraintelligent Machine, [in:] Advances in Computers.[eds] Franz L., Alt and Morris Rubinoff, Volume 6, New York Academic Press. http://chasewoodford.com/resou..._ First_Ultraintelligent_Machine.pdf.

Google Scholar

15.

Grasseger, H., Krogerus, M. (2017).The Data That Turned the World Upside Down. Motherboard. Retreived: January 28 2017. https://www.vice.com/en/articl... how-our-likes-helped-trump-win.

Google Scholar

16.

Kozlowska, I. (2018). Facebook and Data Privacy in the Age of Cambridge Analytica.The Henry M.Jackson School of International Studies. University of Washington. Retreived: April 30 2018. https://jsis.washington.edu/ne....

Google Scholar

17.

Krause, Hansen, H., Weiskopf, R. (2021).From Universalizing Transparency to the Interplay of Transparency Matrices: Critical insights from the emerging social credit system in China. Organization Studies, Vol 42, Issue 1. https://journals.sagepub. com/doi/full/10.1177/0170840619878474.

Google Scholar

18.

Liang, F. et al. (2018).Constructing a Data-Driven Society: China’s Social Credit System as a State Surveillance Infrastructure. Policy & Internet, Volume 10, Issue 4. Special Issue: Social Media and Big Data in China. December 2018, p. 415-453, https:// onlinelibrary.wiley.com/doi/abs/10.1002/poi3.183.

Google Scholar

19.

Lou, Z., Yin, M., (2021).Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks. CHI’21 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Article No. 78, p. 1-16, https://dlacm.org/doi/abs/10.1....

Google Scholar

20.

Martin, K. (2019). Ethical Implications and Accountability of Algorithms.Journal of Business Ethics, 160. p. 835-850. https://link.springer.com/arti...- 018-3921-3.

Google Scholar

21.

Mitchell, T. M . (1997).Machine Learning, McGraw-Hill Science/Engineering/Math. New York. https://www.cin.ufpe.br/~cavmj... Tom%20Mitchell.pdf.

Google Scholar

22.

Netflix Net Income 2006-2021|NFLX, macrotrends, https://www.macrotrends.net/ stocks/charts/NFLX/netflix/net-income.

Google Scholar

23.

Netflix Prize, https://www.netflixprize.com/i....

Google Scholar

24.

Netflix Prize: Forum, https://www.netflixprize.com/c....

Google Scholar

25.

Nillson N. J. (2005).Human-Level Artificial Intelligence? Be Serious!. AI Magazine, Vol. 26 No 4: Winter. p. 68–75. https://www.aaai.org/ojs/index... article/view/1850/1748.

Google Scholar

26.

Rafailidis, D., Manolopoulos, Y. (2019).Can Virtual Assistants Produce Recommendations? WIMS 2019: Proceedings of the 9th International Conference on Web Intelligence. Mining and Semantics. Article No. 4, p. 1-6, https://dl.acm. org/doi/abs/10.1145/3326467.3326468.293.

Google Scholar

27.

Risso, L. (2017). Harvesting Your Soul? Cambridge Analytica and Brexit, Brexit Means Brexit? The Selected Proceedings of the Symposium. Akademie der Wissenschaften und der Literatur, Mainz 6–8 December 2017. ed. C. Jansohn, Akademie der Wissenschaften und der Literatur, Mainz, p. 75-87. https://www.adwmainz.de/ fileadmin/user_upload/Brexit-Symposium_Online-Version.pdf#page=75.

Google Scholar

28.

Rosenfeld, M., et al. (2019). Disintermediating your friends: How online dating in the United States displaces other ways of meeting. Proceeding of the National Academy of Sciences of the United States of America. 116 (36) p. 17753-17758. Reteived: September 3 2019…https://www.pnas.org/content/1....

Google Scholar

29.

Russell, S. J., Norvig P. (2010). Arti ficial Intelligence A Modern Approach Third Edition. Pearson Education, Inc. Upper Saddle River. New Jersey.

Google Scholar

30.

Samuel, A. L. (1959). Some Studies in Machine Learning Using the Game of Checkers. IBM Journal of Research and Development, Volume: 3, Issue: 3, July, s. 210–229. http:// www2.stat.duke.edu/~sayan/R_stuff/Datamatters.key/Data/samuel_1959_B-95.pdf.

Google Scholar

31.

Schick, M. (2010). Wozniak: Could a Computer Make a Cup of Coffee? Fast Company. Reteived: 02.03.2010. https://www.fastcompany.com/15....

Google Scholar

32.

Schmidt, A. (2021). The End of Serendipity: Will Artificial Intelligence Remove Chance and Choice in Everyday Life? CHItaly ’21. July 11–13. Bolzano. Italy. Reteived: July 11 13. https://uni.ubicomp.net/as/as-....

Google Scholar

33.

Shashkevich, A. (2019). Meeting online has become the most popular way U.S.couples connect.Stanford sociologist finds. Stanford News. Reteived: August 21 2019. https:// news.stanford.edu/2019/08/21/online-dating-popular-way-u-s-couples-meet/.

Google Scholar

34.

Shulman, R. G. et al. (2024). Energetic basis of brain activity: implications for neuroimaging. Trends in neurosciences, Volume 27, Issue 8. p. 489-495. Retreved: 1 August 2004. https://www.sciencedirect.com/....

Google Scholar

35.

Shyam Sundar, S. (2020). Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII). Journal of Computer-Mediated Communication, Volume 25, Issue 1, January 2020, p. 74–88. https://academic. oup.com/jcmc/article/25/1/74/5700811?login=true.

Google Scholar

36.

Stamboliev, E. (2019). Challenging Robot Morality: An Ethical Debate on Humanoid Companions.Dataveillance, and Algorithms. University of Plymouth. https://pearl. plymouth.ac.uk/handle/10026.1/14295.

Google Scholar

37.

Tegmark, M. (2017). Life 3.0 Being Human in the Age of Artificial Intelligence. Penguin Random House.

Google Scholar

38.

The Google DeepMind challenge match, https://deepmind.com/alphago-k....

Google Scholar

39.

Turing, A. M., Computing Machinery and Intelligence, Mind, nr LIX(236), p. 433–460, https://academic.oup.com/mind/....

Google Scholar

40.

Wouters, N. (2019). Big Brother walks into an office …. Artificial Intelligence for Better or Worse. Future Leaders. http://www.questions.com.au/ec...- Intelligence/Niels-Wouters.pdf.

Google Scholar

41.

Wu, Y., et al. (2021). Cooperation with Police in China: Surveillance Cameras, Neighborhood Efficacy and Policing. Social Science Quarterly, Volume 102, Number 1, January 2021, https://onlinelibrary.wiley.co....

Google Scholar

42.

Zuboff, S. (2018). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: Public Affairs.

Google Scholar