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Society Caught in a Labyrinth of Algorithms: Disputes, Promises, and Limitations of the New Order of Things

  • Tomas HauerEmail author
Symposium: New Measures, New Ideas
  • 22 Downloads

Abstract

We are in the interim of the massive expansion of the new and fundamental technology, which is represented by the advanced algorithms of AI. No one knows the real potential of machine learning and AI. Letting the algorithms drive autonomous vehicles (driverless cars) is like running the Boston Marathon. Creating an ethically completely autonomous AI system is like a piloted flight to Alpha Centauri. Nevertheless, we still live in the world of algorithms. Today there are algorithms in every corner of civilization, as quantum fluctuations they are integrally interwoven into the structure of everyday life. They are not just in your mobile phone or laptop. Algorithms plan flights and then fly with planes. Algorithms run factories, the bank is a vast array of algorithms, evaluating our credit score, algorithms collect revenue and keep records, read medical images, diagnose cancer, drive cars, write scientific texts, compose music, conduct symphony orchestras, navigate drones, speak to us and for us, write film scenarios, invent chemical formulations for a new cosmetic cream, order, advise, paint pictures. Climate models decide what is a safe carbon dioxide level in the atmosphere, NSA algorithms decide whether you are a potential terrorist. If every algorithm suddenly stopped working, it would be the end of the world as we know it. How did this new alliance, this interim world come into existence, does it suit us, and how and where will it develop? What AI algorithms have shown and offered to us so far is just a prelude, and even today it turns out that politics, ethics and law do not know what to do with the consequences of these changes. However, when we experience computer control by a mere idea, complex genetic modifications, and DNA enhancement using CRISPR, or perhaps flying cars, we can expect real challenges related to the power of algorithms. Then AI ​​algorithms will really transform everything. The study analyzes the social contradictions, promises and limitations associated with how the desire to move higher on technological prominence in the realm of artificial intelligence faces the ethical, legal and political barriers of the existing order of things.

Keywords

Ethical issues of AI Algorithm Machine learning Big data Driverless cars Existing order of things Autonomous AI system 

Notes

Further Reading

  1. Anderson, M., & Anderson, S. 2011. Machine ethics. Cambridge:Cambridge University Press.CrossRefGoogle Scholar
  2. Barton, D., Woetzel, J., Seong, J. & Tian, Q. 2017. Artificial Intelligence: Implications for China, McKinsey Global Institute Discussion Paper.Google Scholar
  3. Boden, A. M. 2016. AI: Its Nature and Future (1st ed., ). Oxford University Press.Google Scholar
  4. Bonnefon, J., Shariff, A., & Rahwan, I. 2015. Autonomous Vehicles Need Experimental Ethics: Are We Ready for Utilitarian Cars? Science, 352(6293), 1573–1576.  https://doi.org/10.1126/science.aaf2654.CrossRefGoogle Scholar
  5. Bostrom, N. 2016. Superintelligence: Paths, Dangers, Strategies. Oxford University Press.Google Scholar
  6. Brynjolfsson, E., McAfee, A. 2016. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, W. W. Norton & Company; 1 editionGoogle Scholar
  7. Brynjolfsson, E. & Mcafee, A. (2017). The business of artificial intelligence. Harvard Business Review. https://hbr.org/cover-story/2017/07/the-business-of-artificial-intelligence (accessed 22.1.2018)
  8. Chorzempa, M. Triolo. P., Sacks, S. 2018. China’s Social Credit System: A Mark of Progress or a Threat to Privacy? June 2018, https://piie.com/system/files/documents/pb18-14.pdf
  9. Cook, E. 2018. Future Mayor of Tokyo could be an AI robot, Science News, 06/05/2018, https://www.science.news/2018-06-05-future-mayor-of-tokyo-could-be-an-ai-robot.html
  10. Dignum, V. 2017. Responsible Artificial intelligence: Designing AI for human values, ITU Journal: ICT Discoveries, Special Issue No. 1, 25 Sept. 2017,Google Scholar
  11. Domingos, P. 2015. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, Basic BooksGoogle Scholar
  12. Dormehl, L. 2017. Thinking Machines: The Quest for Artificial Intelligence and Where It's Taking Us Next, TarcherPerigeeGoogle Scholar
  13. Etzioni, A. Etzioni, O. 2017. Incorporating Ethics into Artificial Intelligence, The Journal of Ethics, December 2017, Volume 21, Issue 4, pp 403–418,  https://doi.org/10.1007/s10892-017-9252-2
  14. Finn, E. 2017. What Algorithms Want: Imagination in the Age of Computing, Massachusetts Institute of TechnologyGoogle Scholar
  15. Grindell, N. 2015. Why !Mediengruppe Bitnik went on a darknet shopping spree, Frieze, 19 FEB 2015, https://frieze.com/contributor/carmen-weisskopf-domagoj-smoljo
  16. He, Y. 2017. How China is preparing for an AI-powered future. Wilson Briefs.Google Scholar
  17. Jia, K. Martin, K. Mattila, J. Seppälä, T. 2018. “The Application of Artificial Intelligence at Chinese Digital Platform Giants: Baidu, Alibaba and Tencent”. ETLA Reports No 81. https://pub.etla.fi/ETLA-Raportit-Reports-81.pdf
  18. Lançon, P. 2015. I was of the dead. But I was not dead.’ A Charlie Hebdo survivor’s story. The Guardian, https://www.theguardian.com/commentisfree/2018/may/06/charlie-hebdo-attack-survivor-philippe-lancon
  19. Laurent, P. Probst, B. China - EU plans for AI: where do we stand? European Commission, Digital transformation monitor, January 2018, https://ec.europa.eu/growth/tools-databases/dem/monitor/sites/default/files/DTM_AI%20USA-China-EU%20plans%20for%20AI%20v5.pdf
  20. Lee, K-F. & Triolo, P. (2017). China’s Artificial Intelligence Revolution: Understanding Beijing’s Structural Advantages, Sinovation Ventures.Google Scholar
  21. Power, M. 2014. What happens when a software bot goes on a darknet shopping spree? The Guardian, https://www.theguardian.com/technology/2014/dec/05/software-bot-darknet-shopping-spree-random-shopper
  22. Shahin, S. Zheng, P. 2018. Big Data and the Illusion of Choice: Comparing the Evolution of India’s Aadhaar and China’s Social Credit System as Technosocial Discourses, Social Science Computer Review, 1–17,  https://doi.org/10.1177/0894439318789343
  23. Shao, T. & Kenney, M. 2018. Ctrip: China’s Online Travel Platform Giant – Local Giant or Global Competitor. BRIE Working PaperGoogle Scholar
  24. van Wynsberghe, A., & Robbins, S. 2018. Critiquing the Reasons for Making Artificial Moral Agents. Science and Engineering Ethics.  https://doi.org/10.1007/s11948-018-0030-8.
  25. Yu, H. 2017. Networking China: The digital transformation of the Chinese economy. Champaign:University of Illinois Press.Google Scholar
  26. Zysman, J., & Kenney, M. 2017. The Next Phase in the Digital Revolution: Intelligent Tools, Platforms, Growth, Employment. Communications of the ACM, 61(2), 54–63.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Social SciencesVSB - Technical University of OstravaOstravaCzech Republic

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