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

AI ethics requires a comprehensive framework across all sectors: The paper identifies eleven fundamental ethical principles—including Transparency, Fairness, Accountability, and Privacy—that should guide AI development, deployment, and usage across businesses, government, academia, and civil society in the United States, recognizing that AI now influences crucial decision-making across the entire economy.

Ethical considerations must be embedded throughout the entire AI lifecycle: Rather than treating ethics as an afterthought, the paper emphasizes that ethical principles and standards need to be adopted "throughout the entire process of AI development, deployment, and usage" to ensure responsible practices from conception to implementation.

Multiple stakeholders share responsibility for ethical AI: The paper highlights that businesses, government agencies, academic institutions, and civil society organizations all depend on AI for critical tasks and therefore all bear responsibility for ensuring these systems operate ethically and in the public interest.

Key ethical principles include protecting human dignity and autonomy: Among the eleven principles discussed, the framework emphasizes Trust, Dignity, Freedom, and Autonomy as essential safeguards, suggesting that ethical AI must prioritize human agency and respect rather than treating people merely as data points.

Transparency and accountability are foundational to public trust: The paper positions Transparency and Accountability as overarching themes, indicating that for AI systems to be trusted by the public, their operations and decision-making processes must be understandable and their developers and deployers must be held responsible for outcomes.