Skip to main content
Log in

The ethics of AI business practices: a review of 47 AI ethics guidelines

  • Original Research
  • Published:
AI and Ethics Aims and scope Submit manuscript

Abstract

Many AI ethics guidelines have recently been published that center the fairness, accountability, sustainability, and transparency of algorithmic decision-making. Relatively few guidelines center the ethics of the business practices and political economies in which AI systems are situated. We present the findings of a semi-systematic literature review and thematic analysis aimed at determining the extent to which the ethics of AI business practices are considered in a large sample of guidelines. Our review reveals that the political and economic implications of AI business practices are greatly underrepresented in AI ethics guidelines. In its current state, AI ethics guidelines focus disproportionately on issues of algorithmic decision-making, while the fairness, accountability, sustainability, and transparency of the business decision-making contexts in which AI systems are situated remain seriously undermined by competitive and speculative norms, ethics washing, corporate secrecy, and other harmful business practices. We discuss these challenges, and we suggest that the ontological and disciplinary scope of future AI ethics guidelines should be expanded to better contend with them.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Leslie, D.: Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. https://www.turing.ac.uk/sites/default/files/2019-06/understanding_artificial_intelligence_ethics_and_safety.pdf (2019). Accessed 3 June 2020

  2. Häußermann, J.J., Lütge, C.: Community-in-the-loop: Towards pluralistic value creation in AI, or—why AI needs business ethics. AI Ethics (2021). https://doi.org/10.1007/s43681-021-00047-2

    Article  Google Scholar 

  3. Rességuier, A., Rodrigues, R.: AI ethics should not remain toothless! A call to bring back the teeth of ethics. Big Data Soc. (2020). https://doi.org/10.1177/2053951720942541

    Article  Google Scholar 

  4. Blackman, R.: A practical guide to building ethical AI. Harvard Business Review. https://hbr.org/2020/10/a-practical-guide-to-building-ethical-ai (2020). Accessed 6 June 2020

  5. Hagendorff, R.: The ethics of AI ethics: An evaluation of guidelines. Minds Mach. 30, 99–120 (2020)

    Article  Google Scholar 

  6. Floridi, L., Cowls, J.: A unified framework of five principles for AI in society. Harvard Data Sci. Rev. (2019). https://doi.org/10.1162/99608f92.8cd550d1

    Article  Google Scholar 

  7. Benanav, A.: Automation and the future of work. Verso Books, London (2020)

    Google Scholar 

  8. Posada, J.: The future of work is here: Toward a comprehensive approach to artificial intelligence and labour. Ethics of AI in Context. Preprint at https://doi.org/10.48550/arXiv.2007.05843 (2020)

  9. Dyer-Witheford, N., Kjøsen, A.M., Steinhoff, J.: Inhuman power: Artificial intelligence and the future of capitalism. Pluto Press, London (2019)

    Book  Google Scholar 

  10. Keyes, O., Huston, J., Durbin, M.: A mulching proposal: Analysing and improving an algorithmic system for turning the elderly into high-nutrient slurry. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (2019). https://doi.org/10.1145/3290607.3310433

  11. Greene, D., Hoffman, A. L., Stark, L.: Better, nicer, clearer, fairer: A critical assessment of the movement for ethical artificial intelligence and machine learning. In:Proceedings of the 52nd Hawaii International Conference on System Sciences (2019). https://doi.org/10.24251/HICSS.2019.258

  12. Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., Srikumar, M.: Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication No. 2020-1 (2020). https://doi.org/10.2139/ssrn.3518482

  13. Cooper, H.M.: Organizing knowledge syntheses: A taxonomy of literature reviews. Knowl. Soc. (1988). https://doi.org/10.1007/BF03177550

    Article  Google Scholar 

  14. Nowell, L.S., Norris, J.M., White, D.E., Moules, N.J.: Thematic analysis: Striving to meet the trustworthiness criteria. Int. J. Qual. Methods (2017). https://doi.org/10.1177/1609406917733847

    Article  Google Scholar 

  15. OECD: Recommendation of the council on artificial intelligence. OECD Legal Instruments https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (2019). Accessed 29 May 2020

  16. Beijing Academy of Artificial Intelligence: Beijing AI principles. Beijing Academy of Artificial Intelligence https://www.baai.ac.cn/news/beijing-ai-principles-en.html (2019). Accessed 2 June 2020

  17. Executive Office of the President: Preparing for the future of artificial intelligence. Obama White House Archives https://obamawhitehouse.archives.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf (2016). Accessed 4 June 2020

  18. British Embassy in Mexico City: Towards an AI Strategy in Mexico: Harnessing the AI Revolution. Oxford Insights https://docs.wixstatic.com/ugd/7be025_ba24a518a53a4275af4d7ff63b4cf594.pdf (2018). Accessed 4 June 2020

  19. Council of Europe: European ethical charter on the use of artificial intelligence in judicial systems and their environment. Council of Europe https://rm.coe.int/ethical-charter-en-for-publication-4-december-2018/16808f699c (2018). Accessed 29 May 2020

  20. The Federal Government of Germany: Artificial intelligence strategy. Nationale Strategie Künstliche Intelligenz https://www.ki-strategie-deutschland.de/home.html?file=files/downloads/Nationale_KI-Strategie_engl.pdf (2019). Accessed 1 June 2020

  21. UNI Global Union: Top 10 principles for workers’ data privacy and protection. The Future World of Work http://www.thefutureworldofwork.org/media/35421/uni_workers_data_protection.pdf (2017). Accessed 3 June 2020

  22. World Economic Forum: AI procurement in a box: AI government procurement guidelines. World Economic Forum http://www3.weforum.org/docs/WEF_AI_Procurement_in_a_Box_Project_Overview_2020.pdf (2020). Accessed 6 June 2020

  23. Microsoft: The future computed: Artificial intelligence and its role in society. Microsoft News https://news.microsoft.com/cloudforgood/_media/downloads/the-future-computed-english.pdf (2018). Accessed 29 May 2020

  24. Google: Responsible development of AI. Google AI https://ai.google/static/documents/responsible-development-of-ai.pdf (2019). Accessed 29 May 2020

  25. Google: Perspectives on issues in AI governance. Google AI https://ai.google/static/documents/perspectives-on-issues-in-ai-governance.pdf (2019). Accessed 29 May 2020

  26. European Commission High-Level Expert Group on Artificial Intelligence: Ethics guidelines for trustworthy AI. Publications Office of the European Union https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai (2019). Accessed 1 June 2020

  27. Abrassart, C., Bengio, Y., Chichoisne, G., de Marcellis-Warin, N., Dilhac, M. et al.: Montréal declaration for a responsible development of artificial intelligence. Université de Montréal https://www.montrealdeclaration-responsibleai.com/the-declaration (2019). Accessed 3 June 2020

  28. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., et al.: AI4People—An ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach. (2018). https://doi.org/10.1007/s11023-018-9482-5

    Article  Google Scholar 

  29. European Commission: Communication from the Commission to the European Parliament, the European Council, the European Economic and Social Committee and the Committee of the Regions: Artificial Intelligence for Europe. European Commission https://ec.europa.eu/transparency/regdoc/rep/1/2018/EN/COM-2018-237-F1-EN-MAIN-PART-1.PDF (2018). Accessed 28 May 2020

  30. NITI Aayog: National strategy for artificial intelligence. National Portal of India https://niti.gov.in/sites/default/files/2019-01/NationalStrategy-for-AI-Discussion-Paper.pdf (2018). Accessed 6 June 2020

  31. National Governance Committee for the New Generation Artificial Intelligence: Governance principles for the new generation artificial intelligence—developing responsible artificial intelligence. China Daily http://www.chinadaily.com.cn/a/201906/17/WS5d07486ba3103dbf14328ab7.html (2019). Accessed 3 June 2020

  32. AI Now: AI Now 2019 report. AI Now Institute https://ainowinstitute.org/AI_Now_2019_Report.pdf (2019). Accessed 2 June 2020

  33. IBM: Everyday ethics for artificial intelligence. IBM https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf (2019). Accessed 3 June 2020

  34. Metz, C.: Seeking ground rules for A.I. The New York Times https://www.nytimes.com/2019/03/01/business/ethical-ai-recommendations.html (2019). Accessed 28 May 2020

  35. UNESCO & COMEST: Preliminary study on the ethics of artificial intelligence. UNESDOC Digital Library https://unesdoc.unesco.org/ark:/48223/pf0000367823 (2019). Accessed 29 August 2020

  36. OECD: Recommendation of the council on artificial intelligence. OECD Legal Instruments https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (2019). Accessed 3 June 2020

  37. G7 2018: Charlevoix common vision for the future of artificial intelligence. Global Affairs Canada https://www.international.gc.ca/world-monde/assets/pdfs/international_relations-relations_internationales/g7/2018-06-09-artificial-intelligence-artificielle-en.pdf (2018). Accessed 4 June 2020

  38. Cihon, P.: Standards for AI governance: International standards to enable global coordination in AI research & development. Oxford Future of Humanity Institute. https://www.fhi.ox.ac.uk/wp-content/uploads/Standards_-FHI-Technical-Report.pdf (2019). Accessed 3 July 2020

  39. Artificial Intelligence Industry Alliance: Joint pledge on artificial intelligence industry self-discipline [draft for comment]. New America https://www.newamerica.org/cybersecurity-initiative/digichina/blog/translation-chinese-ai-alliance-drafts-self-discipline-joint-pledge/ (2019). Accessed 2 June 2020

  40. IEEE: Ethically aligned design: A vision for prioritizing human well-being with autonomous and intelligent systems. IEEE Standards https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead1e.pdf?utm_medium=undefined&utm_source=undefined&utm_campaign=undefined&utm_content=undefined&utm_term=undefined (2019). Accessed 28 June 2020

  41. Monetary Authority of Singapore. Principles to promote fairness, ethics, accountability and transparency (FEAT) in the use of artificial intelligence and data analytics in Singapore’s financial sector. Monetary Authority of Singapore https://www.mas.gov.sg/publications/monographs-or-information-paper/2018/FEAT (2018). Accessed 1 July 2020

  42. House of Lords Select Committee on Artificial Intelligence: AI in the UK: ready, willing and able? United Kingdom Parliament https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf (2018). Accessed 4 June 2020

  43. Access Now: Human rights in the age of artificial intelligence. Access Now https://www.accessnow.org/cms/assets/uploads/2018/11/AI-and-Human-Rights.pdf (2018). Accessed 24 August 2020

  44. ITI: AI policy principles. Information Technology Industry Council https://www.itic.org/resources/AI-Policy-Principles-FullReport2.pdf (2017). Accessed 15 July 2020

  45. Government of Japan: Social principles of human-centric AI (draft). Cabinet Office https://www8.cao.go.jp/cstp/stmain/aisocialprinciples.pdf (2019). Accessed 5 August 2020

  46. OpenAI: OpenAI charter. OpenAI https://openai.com/charter/ (2018). Accessed 17 June 2020

  47. Center for Humane Technology: For technologists. Center for Humane Technology https://humanetech.com/techprinciples/ (2021). Accessed 3 July 2020

  48. Smart Dubai: AI ethics principles & guidelines. Smart Dubai https://www.smartdubai.ae/pdfviewer/web/viewer.html?file=https://www.smartdubai.ae/docs/default-source/ai-principles-resources/ai-ethics.pdf?sfvrsn=d4184f8d_6 (2018). Accessed 6 July 2020

  49. Amnesty International and Access Now: The Toronto declaration: Protecting the right to equality and non-discrimination in machine learning systems. Access Now https://www.accessnow.org/cms/assets/uploads/2018/08/The-Toronto-Declaration_ENG_08-2018.pdf (2018). Accessed 5 August 2020

  50. Mukherjee, C., Tripathi, S., Batra, B., Singh A., & Sheppard, B. (2018). Future of work and education for the digital age: Building on the Hamburg statement and the G20 roadmap for digitalization - towards a G20 framework for artificial intelligence in the workplace. Think 20. PwC https://www.pwc.com/gx/en/issues/assets/pdf/future-of-work-education-digital-age.pdf (2018). Accessed 3 July 2020

  51. Telefónica AI principles of Telefónica. Telefonica https://www.telefonica.com/en/web/responsible-business/our-commitments/ai-principles (2018). Accessed 20 August 2020

  52. Axon: Axon’s AI Ethics Board. Axon https://www.axon.com/company/ai-and-policing-technology-ethics (n.d.). Accessed 7 September 2020

  53. The Public Voice: Universal guidelines for artificial intelligence. The Public Voice https://thepublicvoice.org/ai-universal-guidelines/ (2018). Accessed 4 August 2020

  54. Diakopoulos, N., Friedler, S., Arenas, M., Barocas, S., Hay, M., et al.: Principles for accountable algorithms and a social impact statement for algorithms. FAT/ML https://www.fatml.org/resources/principles-for-accountable-algorithms (n.d.). Accessed 4 June 2020

  55. China Electronics Standardization Institute: Artificial intelligence standardization white paper (2018 edition). Center for Security and Emerging Technology https://cset.georgetown.edu/research/artificial-intelligence-standardization-white-paper/ (2018). Accessed 5 July 2020

  56. Future of Life Institute: Asilomar AI principles. Future of Life Institute https://futureoflife.org/ai-principles/?cn-reloaded=1&cn-reloaded=1&cn-reloaded=1 (2017). Accessed 7 August 2020

  57. Pichai, S. AI at Google: Our principles. Google Blog https://www.blog.google/technology/ai/ai-principles/ (2018). Accessed 27 May 2020

  58. Schwab, K. & Vanham, P.: What is stakeholder capitalism? World Economic Forum https://www.weforum.org/agenda/2021/01/klaus-schwab-on-what-is-stakeholder-capitalism-history-relevance/ (2021) 30 January 2020

  59. Mishra, S., Clark, J., Perrault, C. R.: Measurement in AI policy: Opportunities and challenges. arXiv preprint (2020). https://doi.org/10.48550/arXiv.2009.09071

  60. Metcalf, J., Moss, E., Boyd, D.: Owning ethics: Corporate logics, Silicon Valley, and the institutionalization of ethics. Soc Res 86(2), 449–476 (2019)

    Article  Google Scholar 

  61. Yeung, K., Howes, A., Pogrebna, G.: AI governance by humans right-centered design, deliberation, and oversight: An end to ethics washing. In: Dubber, M.D., Pasquale, F., Das, S. (eds.) The Oxford Handbook of Ethics of AI. Oxford University Press, Oxford (2020)

    Google Scholar 

  62. Bietti, E.: From ethics washing to ethics bashing: A view on tech ethics from within moral philosophy. FAT* https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3513182 (2020). Accessed 13 July 2020

  63. Partnership on AI: Tenets. Partneship on AI https://www.partnershiponai.org/tenets/ (n.d.). Accessed on 5 June 2020

  64. OpenAI: OpenAI charter. OpenAI https://openai.com/charter/ (n.d.). Accessed 3 July 2020

  65. Dastin, J. & Dave, P.: Exclusive: Google pledges changes to research oversight after internal revolt. Reuters https://www.reuters.com/article/us-alphabet-google-research-exclusive/exclusive-google-pledges-changes-to-research-oversight-after-internal-revolt-idUSKBN2AP1AC (2021). Accessed 5 February 2021

  66. Xiang, A., Raji, I.D.: On the legal compatibility of fairness definitions. arXiv preprint (2019). https://doi.org/10.48550/arXiv.1912.00761

  67. Crawford, K.: Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press, New Haven (2021)

    Book  Google Scholar 

  68. Crawford, K. & Joler, V.: Anatomy of an AI system. Anatomy of AI https://anatomyof.ai/ (2018). Accessed 4 June 2020

  69. Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., et al.: Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (2020). https://doi.org/10.48550/arXiv.2001.00973

  70. Rahwan, I.: Society-in-the-loop: Programming the algorithmic social contract. Ethics Inf. Technol. 20, 5–14 (2018)

    Article  Google Scholar 

  71. Parliament of Canada: Bill C-11, An Act to Enact the Consumer Privacy Protection Act and the Personal Information and Data Protection Tribunal Act and to Make Consequential and Related Amendments to Other Acts, 2nd Session, 43rd Parliament, Ottawa, 2020. Parliament of Canada https://parl.ca/DocumentViewer/en/43-2/bill/C-11/first-reading (2020). Accessed 6 February 2021

  72. Birhane, A.: Algorithmic injustice: a relational ethics approach. Patterns (2021). https://doi.org/10.1016/j.patter.2021.100205

    Article  Google Scholar 

  73. Indigenous Protocol and Artificial Intelligence Working Group: Indigenous protocol and artificial intelligence. The Initiative for Indigenous Futures and the Canadian Institute for Advanced Research (CIFAR) (2020). https://doi.org/10.11573/spectrum.library.concordia.ca.00986506

  74. Lewis, J. E., Arista, N., Pechawis, A., Kite, S.: Making kin with the machines. Journal of Design and Science (2018). https://doi.org/10.21428/bfafd97b

  75. Raji, I. D., Scheuerman, M. K., Amironesei, R.: You can’t sit with us: Exclusionary pedagogy in AI ethics education. FAccT ‘21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021). https://doi.org/10.1145/3442188.3445914

  76. D’Ignazio, C., Klein, L.: Data Feminism. The MIT Press, Cambridge, MA (2020)

    Book  Google Scholar 

  77. AlgorithmWatch (2020). AI ethics guidelines global inventory. Retrieved from https://inventory.algorithmwatch.org/

  78. Altman, M., Wood, A., Vayena, E.: A harm-reduction framework for algorithmic fairness. IEEE Secur. Priv. 16(3), 34–45 (2018)

    Article  Google Scholar 

  79. CIO Strategy Council: Ethical design and use of automated decision systems. National Standard of Canada CAN/CIOSC 101:2019. Ottawa: CIO Strategy Council & Standards Council of Canada. https://ciostrategycouncil.com/standards/implement-standards/ (2019)

  80. Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., Srikumar, M.: Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication No. 2020-1. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3518482 (2020)

  81. Greene, D., Hoffman, A. L., Stark, L.: Better, nicer, clearer, fairer: A critical assessment of the movement for ethical artificial intelligence and machine learning. In: Proceedings of the 52nd Hawaii International Conference on System Sciences, 2122-2131. https://scholarspace.manoa.hawaii.edu/bitstream/10125/59651/0211.pdf (2019)

  82. Keyes, O., Huston, J., Durbin, M.: A mulching proposal: Analysing and improving an algorithmic system for turning the elderly into high-nutrient slurry. CHI 2019. https://ironholds.org/resources/papers/mulching.pdf (2019)

  83. Lepri, B., Oliver, N., Letouze, E., Pentland, A., Vinck, P.: Fair, transparent, and accountable algorithmic decision-making processes: the premise, the proposed solutions, and the open challenges. Philos. Technol. 31(3), 611–627 (2018)

    Article  Google Scholar 

  84. Metcalf, J., Moss, E., Boyd, D.: Owning ethics: corporate logics, Silicon Valley, and the institutionalization of ethics. Soc. Res. 86(2), 449–476 (2019)

    Article  Google Scholar 

  85. Suresh, H., Guttag, J. V.: A framework for understanding unintended consequences of machine learning. Preprint at https://arxiv.org/pdf/1901.10002.pdf (2020)

  86. Abrassart, C., Bengio, Y., Chichoisne, G., de Marcellis-Warin, N., Dilhac, M., et al.: Montréal declaration for a responsible development of artificial intelligence. Université de Montréal. https://www.montrealdeclaration-responsibleai.com/the-declaration (2019)

  87. Access Now: Human rights in the age of artificial intelligence. https://www.accessnow.org/cms/assets/uploads/2018/11/AI-and-Human-Rights.pdf (2018)

  88. AI Now: AI Now 2019 report. https://ainowinstitute.org/AI_Now_2019_Report.pdf (2019)

  89. Amnesty International and Access Now: The Toronto declaration: Protecting the right to equality and non-discrimination in machine learning systems. https://www.accessnow.org/cms/assets/uploads/2018/08/The-Toronto-Declaration_ENG_08-2018.pdf (2018)

  90. Artificial Intelligence Industry Alliance: Joint pledge on artificial intelligence industry self-discipline (draft for comment). (Trans. Webster, G.). https://www.newamerica.org/cybersecurity-initiative/digichina/blog/translation-chinese-ai-alliance-drafts-self-discipline-joint-pledge/ (2019)

  91. Axon: Axon’s AI Ethics Board. https://www.axon.com/company/ai-and-policing-technology-ethics (2021)

  92. Beijing Academy of Artificial Intelligence: Beijing AI principles. https://www.baai.ac.cn/news/beijing-ai-principles-en.html (2019)

  93. British Embassy in Mexico City: Hacia una Estrategia de IA en México: Aprovechando la Revolución de la IA. https://docs.wixstatic.com/ugd/7be025_ba24a518a53a4275af4d7ff63b4cf594.pdf (2018)

  94. Center for Humane Technology: For technologists. https://humanetech.com/techprinciples/ (2021)

  95. China Electronics Standardization Institute: Artificial intelligence standardization white paper (2018 edition). (Trans. Center for Security and Emerging Technology). https://cset.georgetown.edu/research/artificial-intelligence-standardization-white-paper/ (2018)

  96. Council of Europe: European ethical charter on the use of artificial intelligence in judicial systems and their environment. https://rm.coe.int/ethical-charter-en-for-publication-4-december-2018/16808f699c (2019)

  97. DeepMind: Exploring the real-world impacts of AI. Retrieved from https://deepmind.com/about/ethics-and-society (n.d.)

  98. Diakopoulos, N., Friedler, S., Arenas, M., Barocas, S., Hay, M., et al.: Principles for accountable algorithms and a social impact statement for algorithms. FAT/ML. https://www.fatml.org/resources/principles-for-accountable-algorithms (n.d.)

  99. European Commission: Communication from the Commission to the European Parliament, the European Council, the European Economic and Social Committee and the Committee of the Regions: Artificial Intelligence for Europe. https://ec.europa.eu/transparency/regdoc/rep/1/2018/EN/COM-2018-237-F1-EN-MAIN-PART-1.PDF (2018)

  100. European Commission High-Level Expert Group on Artificial Intelligence: Ethics guidelines for trustworthy AI. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai (2019)

  101. Executive Office of the President: Preparing for the future of artificial intelligence. https://obamawhitehouse.archives.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf (2016)

  102. Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., et al.: AI4People—An ethical framework for a good AI society: opportunities, risks, principles, and recommendations. Minds Mach. 28, 689–707 (2018)

    Article  Google Scholar 

  103. Future of Life Institute: Asilomar AI principles. https://futureoflife.org/ai-principles/?cn-reloaded=1&cn-reloaded=1&cn-reloaded=1 (2017)

  104. Government of Japan: Social principles of human-centric AI (draft). Retrieved from https://www8.cao.go.jp/cstp/stmain/aisocialprinciples.pdf (2019)

  105. House of Lords Select Committee on Artificial Intelligence: AI in the UK: ready, willing and able? https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf (2018)

  106. IA Latam: Declaración de ética ia-latam para el diseño, desarrollo y uso de la inteligencia artificial. https://ia-latam.com/etica-ia-latam/ (n.d.).

  107. IBM: Everyday ethics for artificial intelligence. https://www.ibm.com/watson/assets/duo/pdf/everydayethics.pdf (2019)

  108. IEEE: Ethically aligned design: A vision for prioritizing human well-being with autonomous and intelligent systems (1st ed.). https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead1e.pdf?utm_medium=undefined&utm_source=undefined&utm_campaign=undefined&utm_content=undefined&utm_term=undefined (2019)

  109. ITI: AI policy principles. https://www.itic.org/resources/AI-Policy-Principles-FullReport2.pdf (2017)

  110. Leslie, D.: Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute. https://www.turing.ac.uk/sites/default/files/2019-06/understanding_artificial_intelligence_ethics_and_safety.pdf (2019)

  111. Metz, C.: Seeking ground rules for A.I. The New York Times. https://www.nytimes.com/2019/03/01/business/ethical-ai-recommendations.html (2019)

  112. Microsoft: The future computed: Artificial intelligence and its role in society. https://news.microsoft.com/cloudforgood/_media/downloads/the-future-computed-english.pdf (2018)

  113. Monetary Authority of Singapore: Principles to promote fairness, ethics, accountability and transparency (FEAT) in the use of artificial intelligence and data analytics in Singapore’s financial sector. https://www.mas.gov.sg/publications/monographs-or-information-paper/2018/FEAT (2018)

  114. Mukherjee, C., Tripathi, S., Batra, B., Singh A., Sheppard, B.: Future of work and education for the digital age: Building on the Hamburg statement and the G20 roadmap for digitalization - towards a G20 framework for artificial intelligence in the workplace. Think 20. https://www.pwc.com/gx/en/issues/assets/pdf/future-of-work-education-digital-age.pdf (2018)

  115. National Governance Committee for the New Generation Artificial Intelligence: Governance principles for the new generation artificial intelligence—developing responsible artificial intelligence. China Daily. http://www.chinadaily.com.cn/a/201906/17/WS5d07486ba3103dbf14328ab7.html (2019)

  116. NITI Aayog: National strategy for artificial intelligence. https://niti.gov.in/sites/default/files/2019-01/NationalStrategy-for-AI-Discussion-Paper.pdf (2018)

  117. OECD: Recommendation of the council on artificial intelligence. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449 (2019)

  118. OpenAI: OpenAI charter. https://openai.com/charter/ (2018)

  119. Partnership on AI: Tenets. Retrieved from https://www.partnershiponai.org/tenets/ (n.d.)

  120. Pichai, S.: AI at Google: Our principles. Google. https://www.blog.google/technology/ai/ai-principles/ (2018)

  121. Schoenauer, M., Bonnet, Y., Berthet, C., Cornut, A-C., Levin, F., Rondepierre, B.: For a meaningful artificial intelligence: Towards a French and European strategy. https://www.aiforhumanity.fr/pdfs/MissionVillani_Report_ENG-VF.pdf (2018)

  122. Smart Dubai: AI ethics principles & guidelines. https://www.smartdubai.ae/pdfviewer/web/viewer.html?file=https://www.smartdubai.ae/docs/default-source/ai-principles-resources/ai-ethics.pdf?sfvrsn=d4184f8d_6 (2018)

  123. Telefónica: AI principles of Telefónica. https://www.telefonica.com/en/web/responsible-business/our-commitments/ai-principles (2018)

  124. Telia Company: Guiding principles on trusted AI ethics. https://www.teliacompany.com/globalassets/telia-company/documents/about-telia-company/public-policy/2018/guiding-principles-on-trusted-ai-ethics.pdf (2019)

  125. Tencent Institute: Six principles of AI. http://www.kejilie.com/iyiou/article/ZRZFn2.html (2017)

  126. The Federal Government of Germany: Artificial intelligence strategy. https://www.ki-strategie-deutschland.de/home.html?file=files/downloads/Nationale_KI-Strategie_engl.pdf (2018)

  127. The Public Voice: Universal guidelines for artificial intelligence. https://thepublicvoice.org/ai-universal-guidelines/ (2018)

  128. UNI Global Union: Top 10 principles for workers’ data privacy and protection. http://www.thefutureworldofwork.org/media/35421/uni_workers_data_protection.pdf (2017)

  129. Cihon, P.: Standards for AI governance: International standards to enable global coordination in AI research & development. Oxford: Future of Humanity Institute. https://www.fhi.ox.ac.uk/wp-content/uploads/Standards_-FHI-Technical-Report.pdf (2019)

  130. G7 2018: Charlevoix common vision for the future of artificial intelligence. https://www.international.gc.ca/world-monde/assets/pdfs/international_relations-relations_internationales/g7/2018-06-09-artificial-intelligence-artificielle-en.pdf (2018)

  131. Google: Responsible development of AI. https://ai.google/static/documents/responsible-development-of-ai.pdf (2019)

  132. Google: Perspectives on issues in AI governance. https://ai.google/static/documents/perspectives-on-issues-in-ai-governance.pdf (2019)

  133. UNESCO & COMEST: Preliminary study on the ethics of artificial intelligence. SHS/COMEST/EXTWG-ETHICS-AI/2019/1. https://unesdoc.unesco.org/ark:/48223/pf0000367823 (2019)

  134. World Economic Forum: AI procurement in a box: AI government procurement guidelines. http://www3.weforum.org/docs/WEF_AI_Procurement_in_a_Box_Project_Overview_2020.pdf (2020)

Download references

Funding

The authors received funding for this research from University College London-University of Toronto, Fund for Collaborative Projects and Exchange Activities in Artificial Intelligence, Project title: AI Governance: Building ethical frameworks to balance risk and innovation, (PIs: R. Alexander and K. Lyons, UofT and J. Bunn and E. Lomas, UCL): https://ei4ai.wordpress.com/.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Blair Attard-Frost.

Ethics declarations

Conflict of interest

Andrés De los Ríos is an employee of Doblin, a Deloitte business. Andrés’s employer was not involved in the research or writing of this manuscript, did not in any way endorse the research and writing of this manuscript, and provided none of the authors with any financial compensation for our work on this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Attard-Frost, B., De los Ríos, A. & Walters, D.R. The ethics of AI business practices: a review of 47 AI ethics guidelines. AI Ethics 3, 389–406 (2023). https://doi.org/10.1007/s43681-022-00156-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43681-022-00156-6

Keywords

Navigation