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Beyond the promise: implementing ethical AI
Open accessAbstract
Artificial Intelligence (AI) applications can and do have unintended negative consequences for businesses if not implemented with care. Specifically, faulty or biased AI applications risk compliance and governance breaches and damage to the corporate brand. These issues commonly arise from a number of pitfalls associated with AI development, which include rushed development, a lack of technical understanding, and improper quality assurance, among other factors. To mitigate these risks, a growing number of organisations are working on ethical AI principles and frameworks. However, ethical AI principles alone are not sufficient for ensuring responsible AI use in enterprises. Businesses also require strong, mandated governance controls including tools for managing processes and creating associated audit trails to enforce their principles. Businesses that implement strong governance frameworks, overseen by an ethics board and strengthened with appropriate training, will reduce the risks associated with AI. When applied to AI modelling, the governance will also make it easier for businesses to bring their AI deployments to scale.
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“The rapid evolution of AI technologies has outpaced the formulation of comprehensive ethical guidelines, raising concerns about the potential misuse and unintended consequences of these powerful tools [32], [33].”
From Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond (2024) · cites this paper as [33]
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Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.002.0003
Adversarial and Kinetic Uses of AI: The Definition of Autonomous Weapon Systems
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.003.0006 · Cited by 1
Adversarial and Non-kinetic Uses: The Case of Artificial Intelligence for Cyber Deterrence
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.003.0005
Sustainment and Support Uses of AI in Defence: The Case of AI-Augmented Intelligence Analysis
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.003.0003
Ethical Principles for AI in Defence
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.003.0002
Taddeo, M. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197745441.002.0005
Metadata
- Authors
- Eitel-Porter, R.
- Affiliations
- Accenture (United Kingdom) (GB)
- Corresponding author
- Eitel-Porter, Ray
- Venue
- AI and Ethics
- Published
- 2020-10-06
- Volume
- 1
- Issue
- 1
- Pages
- 73-80
- ISSN
- 2730-5953 (ISSN-L)
- 2730-5961
- OpenAlex
- W3092263108
- Cited by
- 245
- References
- 27
- Citations by year
- 2026: 37 · 2025: 62 · 2024: 72 · 2023: 37 · 2022: 25 · 2021: 12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI and Ethics (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- ethical AI, AI governance, responsible AI, algorithmic bias, AI risk management, AI ethics principles, ethics boards, audit trail
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