By Agroknow.
AI promises transformative advancements in food safety by enhancing risk assessment, regulatory compliance, and outbreak detection through its data processing and predictive analytics capabilities.
This discussion paper explores AI’s current role, future potential, and implementation challenges in food safety. Industry experts, academics, and researchers are invited to share insights on AI applications, decision-making, trust factors, future visions for 2035, and potential breakthroughs in the field.
How can AI truly revolutionize food risk prevention tactics and strategies?
Read the discussion paper to understand:
- The significance of AI in integrating traceability data, as seen in FDA and EU regulatory initiatives.
- The challenges of data sensitivity, ethical considerations, and resource constraints.
- The need to build trust in AI systems through transparency and continuous improvement is crucial.
- How by 2035, AI is envisioned to revolutionize food safety contributing to a safer, more sustainable food supply chain through collaborative efforts across the sector.
