This bill aims to establish comprehensive protections for individual rights against computational algorithms, particularly those impacting consequential actions like employment, housing, education, or justice. It defines a covered algorithm broadly to include machine learning and AI techniques used in commercial acts that affect these critical areas. The legislation seeks to prevent discrimination and ensure fairness in the deployment of these powerful systems.

The bill prohibits developers and deployers from using covered algorithms in ways that cause disparate impact or otherwise discriminate based on protected characteristics. To enforce this, it mandates rigorous pre-deployment evaluations and annual post-deployment impact assessments. These assessments, often conducted by independent auditors, must identify potential harms, evaluate data use, and recommend mitigation strategies.

Developers and deployers must take reasonable measures to prevent identified harms, ensure algorithms perform as expected, and use relevant and appropriate data. The bill also requires extensive transparency, including public disclosures about algorithm practices, data collection, and transfer. These disclosures must be clear, accessible, and available in multiple languages, with specific short-form notices for individuals.

Individuals are granted rights to human alternatives for consequential actions determined by algorithms, and a mechanism to appeal such decisions to a human reviewer. The bill also includes strong prohibitions against retaliation for exercising rights or reporting violations, alongside whistleblower protections. These provisions aim to ensure individual autonomy and recourse when affected by algorithmic decisions.

Enforcement is primarily vested in the Federal Trade Commission (FTC), treating violations as unfair or deceptive acts, with expanded jurisdiction. State attorneys general are also empowered to bring civil actions, seeking injunctions, civil penalties, and damages. Crucially, the bill establishes a private right of action for individuals or classes of individuals to sue for violations, allowing for treble damages and invalidating pre-dispute arbitration agreements.

To support these efforts, the bill directs the Office of Personnel Management to establish a new occupational series for algorithm auditing within the federal government. It also authorizes increased appropriations and up to 500 additional personnel for the FTC to carry out its expanded responsibilities under this Act. This aims to build federal capacity for oversight and enforcement in the rapidly evolving AI landscape.