The U.S. regulatory approach leans towards voluntary standards as opposed to rigid rules in order to encourage ethical AI innovation and use and maintain industry’s support of its measures, and core principles of a proposed AI Bill of Rights include:

• Safe and Effective Systems: AI systems should be reliable, robust, and secure. They must be both safe and effective, and they must be safe and secure in focus.
• Algorithmic Discrimination Protections: Stakeholders must work to prevent and mitigate potential biases in these systems. These promoting ir recognising the avoid such biases in the treatment of marginalized populations. 
• Data Privacy: Individuals must have greater control over their data, and AI systems must process data transparently and securely. 
• Transparency: Those who design and deploy AI systems are responsible for enterprise governance and for providing a sufficient understanding of the technology and its application to ensure stakeholders can meaningfully engage with so those affected can understand whether it may be beneficial to use it.
• Human Alternatives and Oversight: Some decisions are too important to delegate even to the most advanced machine learning system. These decisions require human intervention. For example, it is essential that critical decisions regarding (e.g. granting of a loan, medical, legal cases) involve individuals and include in the decision-making process a recourse to human judgment.