Source: United Nations Economic Commission for Europe
Conference taking place during the 4th WP.6 Forum
Background
Overview:
The conference will explore the transformative potential of artificial intelligence (AI) in enhancing quality infrastructure (QI) processes. Quality infrastructure encompasses metrology, standardization, market surveillance, conformity assessment, accreditation, and risk management. These processes are critical for ensuring product quality, safety, and compliance with standards, which in turn support sustainable economic development and consumer protection.
In recent years, AI has emerged as a powerful tool capable of revolutionizing various industries. Its application in quality infrastructure can lead to significant improvements in efficiency, accuracy, and reliability.
Key Topics:
- AI in Metrology: Exploring how AI can improve measurement accuracy, data analysis, and calibration processes.
- Standardization and AI: Discussing the role of AI in developing and maintaining standards, as well as ensuring compliance.
- Market Surveillance: Utilizing AI for real-time monitoring and analysis of market data to detect non-compliance and ensure product safety.
- Conformity Assessment: Enhancing testing and certification processes with AI to improve efficiency and reduce human error.
- Accreditation: Leveraging AI to streamline accreditation processes and ensure consistent quality across different sectors.
- Risk Management: Applying AI to identify, assess, and mitigate risks in quality infrastructure processes.
Expected Outcomes:
- Increased awareness of the potential of AI in quality infrastructure.
- Identification of key areas where AI can be effectively integrated into QI processes.
- Development of a roadmap for future research and collaboration.
- Strengthening of partnerships among stakeholders to drive innovation in quality infrastructure.