Artificial Intelligence Policy

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= Artificial Intelligence Policy =
**Artificial Intelligence Policy''' is a set of legislative, regulatory, and ethical principles that govern the development, use, and evaluation of artificial intelligence (AI) systems. These principles aim to ensure accountability, transparency, and the protection of human rights in the use of such technologies in the public, private, and international sectors. 

## Legislation in the United States
In the United States, the use of AI is partially regulated by existing civil rights and anti-discrimination laws. In particular, Title VII of the Civil Rights Act of 1964 prohibits employment discrimination, which also extends to automated recruitment systems. The Americans with Disabilities Act (ADA) contains provisions that ensure the accessibility of digital technologies, including AI. Section 1557 of the Affordable Care Act (ACA) guarantees the non-discriminatory use of AI in healthcare systems. The U.S. Department of Health and Human Services (HHS) also implements the HTI-1 regulation, which establishes transparency and interoperability requirements for AI in medicine.

## State Laws
In the U.S., a number of state-level legislative acts have been adopted:

Virginia's HB 747 regulates the risks of using high-risk AI systems.

Colorado's SB24-205 outlines responsibilities to protect consumers from potentially harmful algorithms.

California's SB 942 sets transparency requirements for AI systems.

## Local Regulation
New York City enforces Local Law 144, which requires an annual audit for bias in automated employment decision tools.

## Standards and Guidelines
The U.S. Food and Drug Administration (FDA) has issued guidance for developers using AI in medical technologies. The U.S. National Institute of Standards and Technology (NIST) developed the AI Risk Management Framework (AI RMF), which outlines best practices for businesses and governments. The international standard ISO/IEC 42001:2023 defines requirements for AI management systems and has already been referenced in court practices as a benchmark for "commercially reasonable actions".

## International Legislation
The European Union adopted the Artificial Intelligence Act (AI Act) in 2024, which outlines mandatory requirements for developers and users of AI, including risk categorization and transparency obligations. In Canada, the Artificial Intelligence and Data Act (AIDA) is under consideration to regulate the implementation of AI and protect personal data.

## Compliance Measures
To comply with legislative and ethical AI requirements, organizations implement various measures aimed at reducing risks and increasing transparency. These measures include independent algorithm audits, the creation of ethics committees, reporting on AI usage, and certification according to industry standards. In some cases, companies implement internal or external AI governance frameworks containing policies for the development, testing, and deployment of algorithms. These policies often include principles of non-discrimination, transparency, data protection, and accountability. They may be developed either internally or by specialized consulting firms. It is also common practice to involve third-party experts or organizations to evaluate compliance with these policies and ethical standards. This includes bias audits, legal compliance checks, and recommendations for improved risk management.

## See also
Artificial intelligence

Ethics of artificial intelligence

Automated decision-making

## References