The rise of checkbox AI ethics: a review
- PMID: 40421379
- PMCID: PMC12103313
- DOI: 10.1007/s43681-024-00563-x
The rise of checkbox AI ethics: a review
Abstract
The rapid advancement of artificial intelligence (AI) sparked the development of principles and guidelines for ethical AI by a broad set of actors. Given the high-level nature of these principles, stakeholders seek practical guidance for their implementation in the development, deployment and use of AI, fueling the growth of practical approaches for ethical AI. This paper reviews, synthesizes and assesses current practical approaches for AI in health, examining their scope and potential to aid organizations in adopting ethical standards. We performed a scoping review of existing reviews in accordance with the PRISMA extension for scoping reviews (PRISMA-ScR), systematically searching databases and the web between February and May 2023. A total of 4284 documents were identified, of which 17 were included in the final analysis. Content analysis was performed on the final sample. We identified a highly heterogeneous ecosystem of approaches and a diverse use of terminology, a higher prevalence of approaches for certain stages of the AI lifecycle, reflecting the dominance of specific stakeholder groups in their development, and several barriers to the adoption of approaches. These findings underscore the necessity of a nuanced understanding of the implementation context for these approaches and that no one-size-fits-all approach exists for ethical AI. While common terminology is needed, this should not come at the cost of pluralism in available approaches. As governments signal interest in and develop practical approaches, significant effort remains to guarantee their validity, reliability, and efficacy as tools for governance across the AI lifecycle.
Supplementary information: The online version contains supplementary material available at 10.1007/s43681-024-00563-x.
Keywords: AI ethics; Artificial intelligence; Governance; Health; Practical approaches; Tools.
© The Author(s) 2024.
Conflict of interest statement
Conflict of interestEV has consulting fees or other honoraria from Johns Hopkins University and Roche diagnostics; participates on a Digital Ethics Advisory Board for Merck and an Ethics Advisory Panel for IQVIA; and is the co-chair of the WHO expert group on ethics and governance of AI in Health.
Figures
References
-
- Hagendorff, T.: The ethics of AI ethics: an evaluation of guidelines. Minds Mach. 30, 99–120 (2020)
-
- Whittlestone, J., Nyrup, R., Alexandrova, A., Cave, S.: The role and limits of principles in AI ethics: towards a focus on tensions. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society. New York, NY, USA: Association for Computing Machinery;. pp. 195–200 (2019)
-
- Seger, E.: In defence of principlism in AI ethics and governance. Philos Technol. 35, 45 (2022)
-
- Vakkuri, V., Kemell, K.-K., Jantunen, M., Abrahamsson, P.: “This is Just a Prototype”: How Ethics Are Ignored in Software Startup-Like Environments. In: Agile processes in software engineering and extreme programming, pp. 195–210. Springer International Publishing, Cham (2020)
-
- McNamara, A., Smith, J., Murphy-Hill, E.: Does ACM’s code of ethics change ethical decision making in software development? Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. New York, NY, USA: Association for Computing Machinery. pp. 729–733. (2018)
Publication types
Grants and funding
LinkOut - more resources
Full Text Sources
Research Materials