AI Regulation and Accountability Act

Artificial Intelligence holds enormous potential to improve lives—but without strong safeguards, it also poses risks to safety, rights, and democracy. The AI Regulation and Accountability Act establishes a clear framework to ensure AI serves the public good while preventing abuse.

Key Principles

  • Accountability for Users and Developers

    • AI users are responsible for actions they initiate through AI systems.
    • Developers must ensure transparency, auditability, and safeguards against foreseeable harms.
    • Autonomous AI systems will be held to ethical and operational standards.
  • Ethical Standards

    • Prohibits unlawful surveillance, manipulation, and lethal autonomous weapons without meaningful human oversight.
    • Bans predatory algorithmic exploitation of individuals or groups.
    • Mandates bias audits and corrective action for discriminatory outcomes.
    • Encourages AI innovation in healthcare, education, accessibility, and environmental sustainability.
  • Oversight and Transparency

    • Establishes the Artificial Intelligence Regulatory Authority (AIRA) to monitor use, enforce compliance, and issue guidelines.
    • Creates an Ethical AI Certification Program for responsible developers and users.
    • Requires disclosure of training data, decision-making processes, and system limitations.
  • Enforcement and Redress

    • Civil and criminal penalties for violations, including malicious AI deployment.
    • Accessible pathways for individuals to report harm and seek reparations.
  • Innovation with Safeguards

    • Encourages public-private partnerships to advance ethical AI.
    • Requires periodic review and stakeholder consultation to keep laws aligned with technological progress.

AI will shape the future of our economy, society, and democracy. By establishing strong accountability, banning harmful applications, and encouraging beneficial uses, this Act ensures AI remains a tool for empowerment—not exploitation.

Accountability, transparency, and innovation—these must be the cornerstones of America’s AI future.

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