Build Trust in AI,Start with the AIEC
AI Evaluation × Local Implementation × Global Alignment
LATEST NEWS
Publish Date： 2025-12-11
The National AI Centre of Australia released Guidance for AI Adoption
Publish Date： 2025-12-05
Test Results of the November 2025 Open-Source Models
Publish Date： 2025-12-01
[Service Suspension Notice] December 3rd, 2025 (Wednesday), 19:00 – 21:00
Publish Date： 2025-11-07
Accountability in Large Language Models
Publish Date： 2025-11-07
Test Results of the October 2025 Open-Source Models
Publish Date： 2025-10-29
[Service Suspension Notice] October 29, 2025 (Wednesday), 17:00–18:00
Publish Date： 2025-10-27
European Union Unveils Apply AI and AI in Science Strategies
Publish Date： 2025-10-14
United Kingdom Unveils Trusted Third Party AI Assurance Roadmap
Publish Date： 2025-10-09
Global Multilingual AI Model Joint Testing Report
Publish Date： 2025-10-07
Test Results of the September 2025 Open-Source Models
Publish Date： 2025-09-24
Explainability in Large Language Models
Publish Date： 2025-09-08
Overview of the General-Purpose AI (GPAI) Code of Practice
Publish Date： 2025-08-27
Overview of the U.S. Artificial Intelligence Action Plan
Publish Date： 2025-08-13
Understanding NIST’s AI Zero Draft
Publish Date： 2025-08-08
【AI WAVE SHOW】AIEC Showcases Trustworthy AI—From Interactive Experiences to Professional Evaluations
Publish Date： 2025-07-29
Evaluating the Fairness of Large Language Models
Publish Date： 2025-07-14
AI Risks, Threats, and Security Recommendations
Publish Date： 2025-07-01
Unseen Dangers in AI Vision: Adversarial Attacks and Security Evaluation Challenges
OUR SERVICE
Accuracy
Closeness of results of observations, computations, or estimates to the true values or the values accepted as being true.
Reliability
Ability of AI systems to perform as required, without failure, for a given time interval, under given conditions.
Fairness
Concerns for equality and equity by addressing issues such as harmful bias and discrimination.
Privacy
The norms and practices that help to safeguard human autonomy, identity, and dignity in AI systems.
Security
AI systems should maintain confidentiality, integrity, and availability through protection mechanisms that prevent unauthorized access and misuse.
OUR PROCESS
Web Service Connection
API Integration
Process Verification
Evaluation
Model Download
Model Deployment
Process Verification
Evaluation
RELATED LINKS
