The use of artificial intelligence (AI) and machine learning (ML) has revolutionized the world in recent years. Within PARC, a survey has been launched on landscape and readiness of computational new approach methodologies based on ML and AI approaches for next generation risk assessment of chemicals.

This survey examines whether and how ML and AI based QSAR models, and their predictions are suitable for regulatory applications, what are their main sources, and barriers to successful implementation.

The survey is targeted to in silico experts, model developers, risk assessors, risk managers, etc. being employed in government or regulatory agencies, academia, industry, consulting, NGO, etc.

PARC invites you to support this activity by participating in the survey and distributing it within your network. The survey is anonymous and will take about 20 minutes to complete. The survey is available here ↗.

The deadline for completing the survey is 1^st May 2024.

By participating in the survey, you support PARC in facilitating the regulatory acceptance and practical use of new methods.