Responsible AI Technical Report

📰 ArXiv cs.AI

KT developed a Responsible AI assessment methodology for safety and reliability

advanced Published 23 Mar 2026

Action Steps

Analyze global AI governance trends and regulatory requirements
Establish a unique approach for regulatory compliance
Identify and manage potential risk factors from AI development to operation
Implement risk mitigation technologies to ensure safety and reliability

Who Needs to Know This

AI engineers and data scientists on a team benefit from this report as it provides a methodology for ensuring the safety and reliability of AI services, and product managers can use it to inform regulatory compliance strategies

Key Insight

💡 A systematic approach to identifying and managing risk factors is crucial for ensuring the safety and reliability of AI services

Key Takeaways

KT developed a Responsible AI assessment methodology for safety and reliability

Full Article

Title: Responsible AI Technical Report

Abstract:
arXiv:2509.20057v4 Announce Type: replace-cross Abstract: KT developed a Responsible AI (RAI) assessment methodology and risk mitigation technologies to ensure the safety and reliability of AI services. By analyzing the Basic Act on AI implementation and global AI governance trends, we established a unique approach for regulatory compliance and systematically identify and manage all potential risk factors from AI development to operation. We present a reliable assessment methodology that systema

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