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.

翻译：本研究聚焦于人工智能伦理及其在美国的应用，重点阐述了人工智能对美国经济各领域及技术空间多重层面的影响，以及对商业、政府、学术和公民社会等实体的连锁效应。随着这些实体开始依赖人工智能执行各类关键任务——这些任务深刻影响其运营、决策及相互互动——伦理考量显得尤为必要。因此，在人工智能开发、部署和使用的全过程中，必须采用道德原则、准则和工作标准，以确保负责任且合乎伦理的人工智能实践。我们的讨论梳理了十一项作为核心主题的"基本道德原则"，涵盖透明度、正义、公平、平等、无害、责任、问责、隐私、有益、自由、自主、信任、尊严、可持续性和团结。这些原则共同构成一个指导框架，引导美国各领域和实体在负责任地开发、部署和利用人工智能技术时遵循伦理路径。本文还探讨了机器学习等人工智能应用的革命性影响，并研究了实施人工智能伦理的多种方法。此项研究对于解决围绕人工智能广泛使用所引发的固有风险日益增长的担忧至关重要。