International Conference on Ai Benchmarks, Standards & Evaluation

Important dates

1. 13 Dec

   Abstract / full paper deadline

   In 28 days

2. 9–10 Jan

   Conference

   Berlin, Germany

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

International Conference on Ai Benchmarks, Standards & Evaluation ICABSE, organized by World Research Association for Education and Science, is a leading international conference that connects researchers, engineers, healthcare professionals, academicians, scientists, industry experts, and professionals from around the world. The conference provides a global platform to share groundbreaking research, discuss emerging developments, showcase innovative ideas, and build meaningful professional collaborations. By bringing together diverse academic and professional communities, International Conference on Ai Benchmarks, Standards & Evaluation ICABSE aims to promote knowledge exchange, interdisciplinary collaboration, innovation, and the advancement of research on a global scale.

Topics and scope

• AI Benchmark Design
• Benchmark Dataset Development
• AI Evaluation Methodologies
• Benchmark Validity
• Evaluation Reproducibility
• AI Performance Metrics
• Model Evaluation Standards
• AI Testing Frameworks
• Automated Benchmark Evaluation
• Statistical AI Evaluation
• Benchmark Uncertainty Analysis
• Generalized Model Accuracy
• AI Leaderboard Reliability
• Cross-Model Comparisons
• Multimodal AI Evaluation
• Large Language Model Evaluation
• Generative AI Benchmarks
• AI Agent Evaluation
• Reasoning Model Benchmarks
• Computer Vision Benchmarks
• Natural Language Processing Evaluation
• Speech AI Evaluation
• Multilingual AI Benchmarks
• Domain-Specific AI Evaluation
• Real-World AI Testing
• AI Robustness Evaluation
• AI Reliability Assessment
• AI Safety Evaluation
• AI Security Testing
• Adversarial AI Evaluation
• Red-Teaming AI Systems
• AI Fairness Evaluation
• Bias Measurement in AI
• Explainable AI Evaluation
• AI Transparency Assessment
• AI Interpretability Metrics
• AI Privacy Evaluation
• AI Trustworthiness Metrics
• Responsible AI Evaluation
• AI Risk Measurement
• AI Impact Assessment
• Human-Centered AI Evaluation
• Human-AI Interaction Testing
• AI Usability Evaluation
• AI Accessibility Assessment
• AI Data Quality Standards
• Dataset Evaluation Standards
• Data Contamination Detection
• Train-Test Leakage
• Benchmark Saturation
• Benchmark Gaming
• Evaluation Data Governance
• AI Documentation Standards
• Model Cards and Evaluation
• AI System Cards
• AI Evaluation Protocols
• Standardized Testing Procedures
• AI Certification Frameworks
• International AI Standards
• AI Interoperability Standards
• AI Compliance Testing
• AI Governance Evaluation
• AI Procurement Evaluation
• Third-Party AI Evaluation
• Independent AI Auditing
• Continuous AI Monitoring
• Post-Deployment Evaluation
• AI Evaluation Testbeds
• AI Measurement Science
• Future AI Evaluation Standard
•                                                                           

Call for papers

Abstracts are due by 13 December 2026. Submission details are on the official website.