  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.
