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