Taiwo et al. 2023
Full Title: A Review of the Ethics of Artificial Intelligence and its Applications in the United States
Citation: Taiwo, E., Akinsola, A., Tella, E., Makinde, K., & Akinwande, M. (2023). A Review of the Ethics of Artificial Intelligence and its Applications in the United States. arXiv preprint arXiv:2310.05751.
Core Framing
A comprehensive review that synthesizes AI ethics principles and their application across US sectors (business, government, academia, civil society). The paper draws on a 2019 meta-review identifying 11 fundamental ethical principles and consolidates them into seven operational themes aligned with Deloitte’s Trustworthy AI™ framework.
Key Contribution
Maps the landscape of AI ethics principles and attempts to bridge the gap between high-level values and engineering practice. Positions the discussion explicitly in a US context, acknowledging sector-specific dependencies on AI.
Eleven Principles Identified
- Transparency
- Justice
- Fairness
- Equity
- Non-Maleficence
- Responsibility
- Accountability
- Privacy
- Beneficence
- Freedom/Autonomy
- Trust/Dignity/Sustainability/Solidarity
Seven Operational Themes
Consolidated into actionable engineering-adjacent concerns:
- Human agency and oversight
- Safety
- Privacy
- Transparency
- Fairness
- Accountability
- Technical robustness
Extracted Content
- 05-atom—ethics-principle-proliferation
- 07-atom—bioethics-to-ai-ethics-inheritance
- 05-atom—voluntary-compliance-gap
- 07-molecule—principles-to-practice-translation-problem
Notes
The framing reveals more than the findings. The fact that a review paper is needed to consolidate 11+ overlapping principles into 7 themes suggests the field is still in definitional flux. The reliance on bioethics foundations (beneficence, non-maleficence, autonomy, justice from the Belmont Report) is both strength and limitation, these concepts were developed for human research contexts, not autonomous systems.