Wydawnictwo
AWSGE
AWSGE
Akademia Nauk Stosowanych
WSGE
im. Alcide De Gasperi
WSGE
im. Alcide De Gasperi
BOOK CHAPTER (279-294)
KEYWORDS
Artificial Intelligence (AI)Machine Learning (ML)microtargettingpsychometricssurveillance systemsbiometric identificationCOVID-19tracing appsprivacychatbotsvirtual assistants
DOI: 10.13166/WSGE/PSAZ2564
ABSTRACT
The paper presents findings regarding AI and Machine Learning and how “thinking
machines” differ from human beings? In the next part the paper presents the issue
of AI and Machine Learning’s impact on day-to-day activities in the following areas:
1. Microtargetting and psychometrics – with the examples from the business and
politics; 2. Surveillance systems, biometric identification, COVID 19 tracing apps
etc. – the issue of privacy in the digital era; 3. The question of choice optimization
(AI-driven Web browsers and dating apps, chatbots and virtual assistants etc.); whether
free will still exist in the AI supported on-line environment? The article is summed
up with conclusions.
REFERENCES (42)
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....
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.
3.
Award, M., Khanna R. (2015).Efficient Learning Machines. https://link.springer.com/ content/pdf/10.1007%2F978-1-4302-5990-9.pdf.
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.
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.
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.
7.
Carr, N. (2010). The Shallows: What the Internet Is Doing to Our Brains.W. W. Norton. New York.
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....
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....
10.
Domingos, P. (2015). The Master Algorithm.How the quest for the Ultimate Learning Machine Will Remake Our World. Penguin Random House.
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.
12.
Goertzel, B. (2012). What Counts as a Conscious Thinking Machine? New Scientist. Retreived: 5.09.2012. https://www.newscientist.com/a....
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.
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.
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.
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....
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.
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.
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....
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.
21.
Mitchell, T. M . (1997).Machine Learning, McGraw-Hill Science/Engineering/Math. New York. https://www.cin.ufpe.br/~cavmj... Tom%20Mitchell.pdf.
22.
Netflix Net Income 2006-2021|NFLX, macrotrends, https://www.macrotrends.net/ stocks/charts/NFLX/netflix/net-income.
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.
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.
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.
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....
29.
Russell, S. J., Norvig P. (2010). Arti ficial Intelligence A Modern Approach Third Edition. Pearson Education, Inc. Upper Saddle River. New Jersey.
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.
31.
Schick, M. (2010). Wozniak: Could a Computer Make a Cup of Coffee? Fast Company. Reteived: 02.03.2010. https://www.fastcompany.com/15....
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-....
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/.
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/....
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.
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.
37.
Tegmark, M. (2017). Life 3.0 Being Human in the Age of Artificial Intelligence. Penguin Random House.
39.
Turing, A. M., Computing Machinery and Intelligence, Mind, nr LIX(236), p. 433–460, https://academic.oup.com/mind/....
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.
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....
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.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
