All that glitters is not gold: trustworthy and ethical AI principles

AI and Ethics - Tập 3 - Trang 1241-1254 - 2022
Connor Rees1, Berndt Müller1
1Department of Computer Science, Swansea University, Swansea, UK

Tóm tắt

Ethics of technology systems have become an area of interest in academic research as well as international policy in recent years. Several organisation have consequently published principles of ethical artificial intelligence (AI) in line with this trend. The documents identify principles, values, and other abstract requirements for AI development and deployment. Critics raise concerns about whether these documents are in fact constructive, or if they are produced as a higher form of virtue signalling. A theme that is beginning to become apparent in the academic literature regarding these documents is the inherent lack of effective and practical methods and processes for producing ethical AI. This article attempts a critical analysis which draws upon ethical AI documents from a range of contexts including company, organisational, governmental, and academic perspectives. Both the theoretical and practical components of AI guidelines are explored and analysed, consequently bringing to light the necessity of introducing a measurable component to such documents for the purpose of ensuring a positive outcome of deploying AI systems based on ethical principles. We propose a minimal framework for stakeholders to develop AI in an ethical and human-centred manner.

Tài liệu tham khảo

Leslie, D.: Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. Website. Retrieved October 28, 2020 from https://www.turing.ac.uk/sites/default/files/2019-06/understanding_artificial_intelligence_ethics_and_safety.pdf (2019) Asimov, I.: I, Robot. HarperVoyager, USA (2018) Asimov, I.: Robots and Empire. HarperVoyager, USA (2018) Jobin, A., Ienca, M., Vayena, E.: The global landscape of AI ethics guidelines. Nat. Mach. Intell. 1(9), 389–399 (2019) Pavaloiu, A., Kose, U.: Ethical Artificial Intelligence - An Open Question. J. Multidiscip. Dev. 2, 15–27 (2017) Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P.N., Inkpen, K., Teevan, J., Kikin-Gil, R., Horvitz, E.: Guidelines for Human-AI Interaction. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. CHI ’19, pp. 1–13. Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3290605.3300233 Mittelstadt, B.: Principles alone cannot guarantee ethical AI. Nat. Mach. Intell. (2019). https://doi.org/10.1038/s42256-019-0114-4 Hernández-Orallo, J., Vold, K.: AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI. In: Proceedings of the AAAI / ACM Conference on AI, Ethics, and Society (AIES’19), pp. 507–513 (2019). https://doi.org/10.1145/3306618.3314238 Whittlestone, J., Nyrup, R., Alexandrova, A., Cave, S.: The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions. In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES’19), pp. 195–200 (2019). https://doi.org/10.1145/3306618.3314289 Pichai, S.: AI at Google: our principles. Website. Retrieved October 28, 2020 from https://www.blog.google/technology/ai/ai-principles/ (2018) H.M.Government: Data Ethics Framework. Website. Retrieved July 30, 2020 from https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework (2018) European Commission, Directorate-General for Communications Networks, Content and Technology: Ethical Guidelines for Trustworthy AI. Publications Office of the European Union. https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai (2019) IEEE: Ethically Aligned Design – Version II. Website. https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead_v2.pdf (2017) Nemitz, P.: Constitutional democracy and technology in the age of artificial intelligence. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 376, 20180089 (2018). https://doi.org/10.1098/rsta.2018.0089 Hagendorff, T.: The Ethics of AI Ethics: An Evaluation of Guidelines. Minds Mach. (2020). https://doi.org/10.1007/s11023-020-09517-8 Bergh, J., Deschoolmeester, D.: Ethical Decision Making in ICT: Discussing the Impact of an Ethical Code of Conduct. Commun. IBIMA (2010). https://doi.org/10.5171/2010.127497 Bosk, C.: Bioethics, Raw and Cooked: Extraordinary Conflict and Everyday Practice. J. Health Soc. Behav. 51(Suppl), 133–46 (2010). https://doi.org/10.1177/0022146510383839 Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., Schafer, B., Valcke, P., Vayena, E.: AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Minds Mach. 28 (2018). https://doi.org/10.1007/s11023-018-9482-5 UK Government Digital Service and The Office for Artificial Intelligence: Understanding artificial intelligence ethics and safety. Website. Retrieved October 28, 2020 from https://www.gov.uk/guidance/understanding-artificial-intelligence-ethics-and-safety (2019) The Alan Turing Institute: Public Policy. Website. Retrieved October 28, 2020 from https://www.turing.ac.uk/research/research-programmes/public-policy (2020) IEEE: Ethically Aligned Design – First Edition. Website. Retrieved July 07, 2022 from https://ethicsinaction.ieee.org/wp-content/uploads/ead1e.pdf (2019) UK Government Digital Service: Data Ethics Framework. Website. Retrieved October 28, 2020 from https://www.gov.uk/government/publications/data-ethics-framework/data-ethics-framework-2020 (2020) Dean, J., Walker, K.: Responsible AI: Putting our principles into action. Website. Retrieved October 28, 2020 from https://www.blog.google/technology/ai/responsible-ai-principles/ (2019) Walker, K.: Google AI Principles updates, six months in. Website. Retrieved October 28, 2020 from https://www.blog.google/technology/ai/google-ai-principles-updates-six-months/ (2018) Information Commissioner’s Office: Data protection by design and default. In: Guide to the General Data Protection Regulation (GDPR), pp. 187–198 (2021) Information Commissioner’s Office: Data protection impact assessments. In: Guide to the General Data Protection Regulation (GDPR), pp. 199–206 (2021) Information & Privacy Commissioner of Ontario: Privacy by Design. Website. https://www.ipc.on.ca/wp-content/uploads/2013/09/pbd-primer.pdf (2013) European Union Agency for Cybersecurity (ENISA): Solving the Cryptography Riddle: Post-quantum Computing & Crypto-assets Blockchain Puzzles. Website. https://www.enisa.europa.eu/news/enisa-news/solving-the-cryptography-riddle-post-quantum-computing-crypto-assets-blockchain-puzzles (2021) UK Government: AI Council. Website. https://www.gov.uk/government/groups/ai-council (2021) House of Lords Select Committee on Artificial Intelligence: AI in the UK: ready, willing and able? (2018) Office for Artificial Intelligence & AI Council: AI Roadmap. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/949539/AI_Council_AI_Roadmap.pdf (2021) European Commission: The Assessment List For Trustworhy Artificial Intelligence. Website. Retrieved May 17, 2021 from https://digital-strategy.ec.europa.eu/en/library/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment (2020) European Commission, Directorate-General for Communications Networks, Content and Technology: Proposal for a Regulation of the European Parliament And of the Council Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act) and Amending Certain Union Legislative Acts . Publications Office of the European Union. https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX:52021PC0206 (2021) IEEE Standards Association: IEEE Standard Model Process for Addressing Ethical Concerns during System Design. Website. https://standards.ieee.org/ieee/7000/6781/ (2021) Spiekermann, S.: IEEE P7000 - The First Global Standard Process for Addressing Ethical Concerns in System Design. Proceedings 1, 159 (2017). https://doi.org/10.3390/IS4SI-2017-04084 The World Economic Forum: Chatbots RESET: A Framework for Governing Responsible Use of Conversational AI in Healthcare. Website. Retrieved May 17, 2020 from http://www3.weforum.org/docs/WEF_Governance_of_Chatbots_in_Healthcare_2020.pdf (2020) UNESCO: Draft text of the Recommendation on the Ethics of Artificial Intelligence. Website. Retrieved November 20, 2021 from https://unesdoc.unesco.org/ark:/48223/pf0000377897 (2021) UNESCO: Report of the Social and Human Sciences Commission (SHS) , pp. 14–39 (2021). https://unesdoc.unesco.org/ark:/48223/pf0000379920 Müller, B.: Keynote Presentation. Intelligent Automation - Re\(^{3}\) – An Approach to Reliable, Responsible, and Resilient Systems. Imago Techmedia (2019) Gunkel, D.J.: The Machine Question: Critical Perspectives on AI, Robots, and Ethics. MIT Press, USA (2012) Sekinah, T., Müller, B.: Should AI systems be given MOTs to put the brakes on hackers? DataIQ, Data and Analytics Articles (2019). https://www.dataiq.co.uk/articles/articles/should-ai-systems-be-given-mots-to-put-the-brakes-on-hackers McMahan, H.B., Moore, E., Ramage, D., Hampson, S., y Arcas, B.A.: Communication-Efficient Learning of Deep Networks from Decentralized Data (2017) Dwork, C., McSherry, F., Nissim, K., Smith, A.: Calibrating Noise to Sensitivity in Private Data Analysis. J. Priv. Confid. 7(3), 17–51 (2017). https://doi.org/10.29012/jpc.v7i3.405 Wachter, S., Mittelstadt, B., Russell, C.: Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR. arXiv (2018) arXiv:1711.00399 [cs.AI] Toni, F.: A tutorial on assumption-based argumentation. Argum. Comput. 5(1), 89–117 (2014). https://doi.org/10.1080/19462166.2013.869878 Shapley, L.S.: Notes on the n-Person Game – II: The Value of an n-Person Game. RAND Corporation (1951) Ribeiro, M.T., Singh, S., Guestrin, C.: “Why Should I Trust You?”: Explaining the Predictions of Any Classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD ’16, pp. 1135–1144. Association for Computing Machinery, New York, NY, USA (2016). https://doi.org/10.1145/2939672.2939778 Open Web Application Security Project: OWASP Top Ten. Website. https://owasp.org/Top10/ (2021) Privacy Rights Clearinghouse: Chronology of Data Breaches. Website. https://privacyrights.org/data-breaches (2022) European Commission, Directorate-General for Communications Networks, Content and Technology: Policy and Investment Recommendations for Trustworthy AI. Publications Office of the European Union. https://data.europa.eu/doi/10.2759/465913 (2022)