# A Review of the Ethics of Artificial Intelligence and its Applications in the United States

arXiv: https://arxiv.org/abs/2310.05751 · HTML: https://mlsanity.com/paper/2310.05751/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 33 references that are in the map.
- First posted on arXiv 9 Oct 2023.

## Builds on (most cited first, 4 of 4)

- [Understanding artificial intelligence ethics and safety](https://mlsanity.com/paper/1906.05684/) (2019)
- [Actionable Principles for Artificial Intelligence Policy: Three Pathways](https://mlsanity.com/paper/2102.12406/) (2021)
- [Does mitigating ML's impact disparity require treatment disparity?](https://mlsanity.com/paper/1711.07076/) (2017)
- [On the Unicity of Smartphone Applications](https://mlsanity.com/paper/1507.07851/) (2015)

## Built on by (most cited first, 1 of 1)

- [The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges](https://mlsanity.com/paper/2406.18900/) (2024)

## Abstract (arXiv)

This study is focused on the ethics of Artificial Intelligence and its application in the United States, the paper highlights the impact AI has in every sector of the US economy and multiple facets of the technological space and the resultant effect on entities spanning businesses, government, academia, and civil society. There is a need for ethical considerations as these entities are beginning to depend on AI for delivering various crucial tasks, which immensely influence their operations, decision-making, and interactions with each other. The adoption of ethical principles, guidelines, and standards of work is therefore required throughout the entire process of AI development, deployment, and usage to ensure responsible and ethical AI practices. Our discussion explores eleven fundamental 'ethical principles' structured as overarching themes. These encompass Transparency, Justice, Fairness, Equity, Non- Maleficence, Responsibility, Accountability, Privacy, Beneficence, Freedom, Autonomy, Trust, Dignity, Sustainability, and Solidarity. These principles collectively serve as a guiding framework, directing the ethical path for the responsible development, deployment, and utilization of artificial intelligence (AI) technologies across diverse sectors and entities within the United States. The paper also discusses the revolutionary impact of AI applications, such as Machine Learning, and explores various approaches used to implement AI ethics. This examination is crucial to address the growing concerns surrounding the inherent risks associated with the widespread use of artificial intelligence.