As innovation thrives on collaboration, Agroknow was prompted to lead an EU-funded discussion paper on the current role of AI in food safety, its future potential, and the challenges in implementing AI technologies.

For that reason, we invite industry experts, academics, and researchers from international organizations to provide insights on key food safety decisions aided by AI, current AI applications, implementation challenges, trust-building factors, future visions for AI’s role in food safety by 2035, and the ultimate breakthroughs AI could achieve in this field.

AI promises transformative advancements in food safety by enhancing risk assessment, regulatory compliance, and outbreak detection through its data processing and predictive analytics capabilities.

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.