What question did this study set out to answer?

The aim is to create a framework that aligns ethical AI principles with practical implementations in code.

April 10, 2026Open Access

EthIQ: A Technical Architecture for Implementing ACEA Ethical AI Governance

Key Points

The aim is to create a framework that aligns ethical AI principles with practical implementations in code.
Developed EthIQ framework within the MTAC system
Employed continuous compliance monitoring techniques
Implemented ethical drift detection mechanisms
Utilized AI self-assessment tools
Created comprehensive incident tracking protocols
EthIQ effectively operationalizes ten foundational ethical principles
Demonstrated improved compliance with ethical standards in AI
Enabled proactive detection of ethical drift in AI operations
Facilitated thorough tracking of ethical incidents

Abstract

Presents EthIQ (Ethics Intelligence Quotient), a technical architecture that bridges the gap between ethical AI principles and operational code. EthIQ operationalizes ten foundational principles through continuous compliance monitoring, ethical drift detection, AI self-assessment, and comprehensive incident tracking. Developed within the MTAC system as the technical implementation layer of the ACEA Framework.

EthIQ: A Technical Architecture for Implementing ACEA Ethical AI Governance

Key Points

Abstract

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