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AI Compliance

Stay informed with the latest updates on AI regulations, compliance requirements, industry standards, and guidelines compiled by Rfwel Engineering's AI Automation team.

Because Rfwel Engineering is a registered engineering firm (Arizona Reg# 17227, Electrical), the AI Automation team is able more efficiently manage AI compliance issues in complex electrical, control, and communication AI applications.

Search and Filter Compliance Information

Statute


European Union

EU AI Act Partially Active

United States

Ethical Framework


Global

UNESCO Recommendation on AI Ethics Partially Active Nov 25, 2021 (earliest date)
OECD AI Principles Active May 22, 2019 (full force date )

Regulation


European Union

General Data Protection Regulation Active May 25, 2018 (earliest date) May 25, 2018 (full force date )

GDPR impacts AI systems that process personal data, requiring technical measures like encryption, anonymization, and data minimization. It emphasizes data protection by design and default, ensuring AI systems comply with privacy standards and mitigate risks associated with automated decision-making.

Digital Services Act Partially Active Feb 17, 2024 (full force date )
Medical Devices Regulation Active May 26, 2018 (full force date )

California

California Consumer Privacy Act Active Jan 01, 2023 (full force date )

United States

Executive Order


United States

Executive Order 14110 Active Oct 30, 2023 (full force date )

Industry


United States

NIST AI Risk Management Framework Active Jan 26, 2023 (full force date )

Global

ISO/IEC TR 24028:2020 Active Aug 15, 2020 (full force date )

SOC Type 1 assesses the design of an AI service provider's controls related to data security, privacy, and system integrity at a specific point in time. It reviews the existence of controls for handling data securely but does not test their effectiveness over a prolonged period. This report is useful for organizations that need to establish baseline controls for their AI systems.

SOC Type 2 evaluates the operational effectiveness of an AI service provider's controls related to data security, privacy, and system processing over time. The audit reviews how these controls perform over a period (e.g., 6-12 months), verifying that they consistently meet compliance and performance standards. It is ideal for organizations that need to demonstrate ongoing control reliability.

Additional Compliance Information

In addition to the AI technical compliance information above, consider AI legal compliance, or wireless compliance information in the links below.

Legal compliance information is provided by Kama Thuo, PLLC AI Law Firm (external link).