Abstract
New technological possibilities with artificial intelligence (AI) are about to disrupt the financial system. The changes will bring about many opportunities and benefits for the industry, its customers, and the society. The savings in costs and efficiency gains, the more reliable adherence to compliance guidelines, and the improvement of the service offers for customers would be examples of the advantages. In this chapter, we describe the ethical implications of AI on finance. The use of AI in the financial industry does not only raise questions of ethical responsibility and legal accountability, but also include more general issues. Other ethical challenges that must be addressed in a discourse in society are the individualization of service offerings, the ownership and security of data collections, the destruction of numerous jobs in the financial industry, and the systemic risks arising from consolidation using AI. Based on this comparison, we derive normative implications that we hope will contribute to the discourse on how to deal with AI in society.
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References
Agrawal A, Gans JS, Goldfard A (2017) What to expect from artificial intelligence. MITSolan management review 58(3):23–26. https://1oa6pu22ni031tzcv9fcm541-wpengine.netdna-ssl.com/wp-content/uploads/2017/02/0da3e859e8.pdf
Amiraux V, Guiraudon V (2014) Discrimination in comparative perspective: policies and practices. Am Behav Sci 53(12):1691–1714
BaFin (2018) Big Data trifft auf künstliche Intelligenz. Herausforderungen und Implikationen für Aufsicht und Regulierung von Finanzdienstleistungen. bafin.de/dok/10985478. Accessed 6 Feb 2020
Balasubramanian R, Libarikian A, McElhaney D (2018) Insurance 2030 – the impact of AI on the future of insurance. McKinsey & Company Financial Services. mckinsey.com/industries/financial-services/our-insights/insurance-2030-the-impact-of-ai-on-the-future-of-insurance. Accessed 6 Feb 2020
BBC (2012) High-frequency trading and the $440m mistake. https://www.bbc.com/news/magazine-19214294. Accessed 04 Feb 2012
Bessen J (2019) Artificial intelligence and jobs: the role of demand. In: Agrawal A, Gans JS, Goldfard A (eds) The economics of artificial intelligence: an agenda. University of Chicago Press, Chicago, pp 291–307
Boatright JR (2010) Ethics in finance. In: Boatright JR (ed) Finance ethics: critical issues in theory and practice. Wiley, Hoboken
Data Ethics Commission of the Federal Government (2019) Opinion of the German Data Ethics Commission. Federal Ministry of the Interior, Building and Community of Germany and Federal Ministry of Justice and Consumer Protection of Germany. bmjv.de/SharedDocs/Downloads/DE/Themen/Fokusthemen/Gutachten_DEK_EN.pdf?__blob=publicationFile&v=2. Accessed 06 Feb 2020
Dengler K, Mathtes B (2015) Folgen der Digitalisierung für die Arbeitswelt. Substituierbarkeitspotenziale von berufen in Deutschland. IAB Forschungsbericht 11/2015. doku.iab.de/forschungsbericht/2015/fb1115.pdf. Accessed 6 Feb 2020
Edelman B, Luca M (2014) Digital discrimination: the case of Airbnb.com. Harvard Business School Working Paper 14–054
Ejanthkarn S (2012) Data privacy in the financial service industry. Capgemini. Risk & compliance. capgemini.com/wp-content/uploads/2017/07/Data_Privacy_in_the_Financial_Services_Industry.pdf. Accessed 6 Feb 2020
Floridi L, Cowls J (2019) A unified framework of five principles for AI in society. Harv Data Sci Rev 1(1):1–15
Floridi L, Cowls J, Beltrametti M, Chatil R, Chazerand P, Dignum V, Luetge C, Madelin R, Pagallo U, Rossi F, Schafer B, Valcke P, Vayena E (2018) AI4 people – an ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Mind Mach 28:689–707
Frey CB, Osborne MA (2013) The future of employment: how susceptible are jobs to computerisation? Technol Forecast Soc Chang 114(C):254–280
Future of Life Institute (2017) Asilomar AI principles. https://futureoflife.org/ai-principles/und Beneficial AI 2017. Accessed 6 Feb 2020
Graham S, Marvin S (2001) Splintering urbanism. Networked infrastructures, technological mobilities and the urban condition. Routledge, London, New York
He D, Guo M, Thou J, Guo V (2018) The Impact of Artificial Intelligence (AI) on the financial job market. image-src.bcg.com/Images/BCG-CDRF-The-Impact-of-AI-on-the-Financial-Job-Market_Mar%202018_ENG_tcm9-187843.pdf. Accessed 6 Feb 2020
Khandani AE, Kim AJ, Lo A (2010) Consumer credit-risk models via machine-learning algorithms. J Bank Financ 34(11):2767–2787
Kirchner S (2018) Zeit für ein Update. Was Menschen in Deutschland über Digitalisierung denken. Friedrich-Ebert Stiftung. library.fes.de/pdf-files/fes/15549.pdf. Accessed 6 Feb 2020
Klein A (2017) Hard drive cost per gigabyte. Blackblaze.com. backblaze.com/blog/hard-drive-cost-per-gigabyte/. Accessed 6 Feb 2020
Lehtonen T, Liukko J (2011) The forms and limits of insurance solidarity. J Bus Ethics 103(1):33–44
McFarland M (2014) Elon Musk: with artificial intelligence we are summoning the demon. The Washington Post. washingtonpost.com/news/innovations/wp/2014/10/24/elon-musk-with-artificial-intelligence-we-are-summoning-the-demon/?noredirect=on&utm_term=.b472c8c5c54d. Accessed 6 Feb 2020
Obermeyer Z, Power B, Vogeli C, Mullainathan S (2019) Dissecting racial bias in an algorithm used to manage the health of populations. Science 366(6464):447–453
OECD (2019) Recommendation of the Council on Artificial Intelligence. legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449. Accessed 04 Feb 2020
Ostojitsch D, Willis F (2018) Considerations on the ethical use of artificial intelligence in capital markets. Association for Financial Markets in Europe. afme.eu/globalassets/downloads/briefing-notes/2017/afme-tao-ai-considerations-on-the-ethical-use-of-ai-30-nov-2018.pdf. Accessed 6 Feb 2020
Shalev-Shwartz S, Ben-David S (2014) Understanding machine learning. Cambridge University Press, Cambridge
UK House of Lords (2018) AI in the UK: ready, willing and able? Select Committee on Artificial Intelligence. Report of Session 2017–19. publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf. Accessed 6 Feb 2020
United Nations General Assembly (2018) Promotion and protection of the right to freedom of opinion and expression. A/73/348. undocs.org/A/73/348. Accessed 6 Feb 2020
Zimiles E, Mueller T (2019) How AI is transforming the fight against money laundering. World Economic Forum. weforum.org/agenda/2019/01/how-ai-can-knock-the-starch-out-of-moneylaundering/. Accessed 6 Feb 2020
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Max, R., Kriebitz, A., Von Websky, C. (2020). Ethical Considerations About the Implications of Artificial Intelligence in Finance. In: San-Jose, L., Retolaza, J., van Liedekerke, L. (eds) Handbook on Ethics in Finance. International Handbooks in Business Ethics. Springer, Cham. https://doi.org/10.1007/978-3-030-00001-1_21-1
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DOI: https://doi.org/10.1007/978-3-030-00001-1_21-1
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