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How AI Challenges Professional Ethics

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Towards a Code of Ethics for Artificial Intelligence

Abstract

Having considered those aspects of professional practice which underpin the need for professional codes of conduct, and the nature of such codes, we turn now to consider how AI presents particular challenges for developing professional codes of ethics. Although many working in AI may be members of a professional body, work in AI may be carried out by those outside of any formal organisational setting. In addition, in AI, resources of money, technological capacity, and capacity over the dissemination of information, may be concentrated into certain hands. At the same time, the control problem in AI undermines the expertise gradient that in most professions gives them power and authority. This means that in AI, there is a particular problem with professional vulnerability in relation to their own products. Codes of professional ethics generally deal with two matters: the behaviour of professionals, and the impact of their products or services on clients and on the wider public. In AI, we have a third, additional, layer of complexity that must be addressed: the behaviour of machines.

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References

  • Berners-Lee T (2017) Three challenges for the web, according to its inventor. World Wide Web Foundation. http://webfoundation.org/2017/03/web-turns-28-letter/. Accessed 16 Mar 2017

  • Bostrom N (2014) Superintelligence: paths, dangers, strategies. Oxford University Press, Oxford

    Google Scholar 

  • Clarke S (2005) Future technologies, dystopic futures and the precautionary principle. Ethics Inf Technol 7(3):121–126. doi:10.1007/s10676-006-0007-1

    Article  Google Scholar 

  • Directorate General for Internal Policies, European Union (2016) European civil law rules in robotics. European Parliament.

    Google Scholar 

  • IEEE Spectrum (2011) Special report: the singularity. http://spectrum.ieee.org/static/singularity. Accessed 16 Mar 2017

  • Koepsell D (2009) On genies and bottles: scientists’ moral responsibility and dangerous technology R&D. Sci Eng Ethics 16(1):119–133. doi:10.1007/s11948-009-9158-x

    Article  MathSciNet  Google Scholar 

  • Oliver J (2003) Charles ‘Grey Goo’ threat to world. Mail on Sunday, 27 April 2003

    Google Scholar 

  • Pariser E (2011) The filter bubble. Viking Penguin, London

    Google Scholar 

  • Piketty T, Goldhammer A, Ganser L (2014) Capital in the twenty-first century. Harvard University Press, Boston, MA

    Book  Google Scholar 

  • von Goethe JW (1878) The sorcerer’s apprentice. The permanent Goethe. The Dial Press, New York, NY, p 349

    Google Scholar 

  • Zimbardo P (2008) The Lucifer effect: understanding how good people turn evil. Random House, New York, NY

    Google Scholar 

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Boddington, P. (2017). How AI Challenges Professional Ethics. In: Towards a Code of Ethics for Artificial Intelligence. Artificial Intelligence: Foundations, Theory, and Algorithms. Springer, Cham. https://doi.org/10.1007/978-3-319-60648-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-60648-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60647-7

  • Online ISBN: 978-3-319-60648-4

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