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AI in Food Safety: Ethical and Efficient Food Safety Document Writing

This workshop provides participants with the knowledge and practical experience to effectively use Artificial Intelligence (AI) tools to develop key components of a food safety management system, including Standard Operating Procedures (SOPs), policies, training materials, and system verification activities. The course addresses the responsible and ethical use of AI and how these tools can improve efficiency, standardization, and accessibility while maintaining compliance with food safety regulations and audit standards.

Attendees will gain hands-on experience using AI to generate document drafts, experiment with different prompt engineering strategies to achieve precise, context-aware outputs, and understand how various technical approaches (e.g., inference with large language models, retrieval-augmented generation, fine-tuning) can enhance document quality and consistency. The course also covers the ethical use of AI so that participants are prepared to integrate AI safely and responsibly into their documentation workflows.

The course will conclude with a breakout session in which participants can independently workshop a document of their choice with instructor consultation and support. This course is designed for beginner to intermediate users of AI—no coding or technical background is required.

  • Identify opportunities to apply AI for developing food safety documentation, including SOPs, policies, and verification activities.
  • Use prompt engineering to guide AI-generated content for clarity, accuracy, and regulatory compliance.
  • Understand and compare technical approaches, such as large-language model inference and retrieval-based content generation.
  • Evaluate and refine AI-generated text to ensure precision and alignment with organizational standards.
  • Discuss ethical considerations and data governance principles in the use of AI for food safety applications.
  • Collaborate with IT, HR, and QA teams to integrate AI responsibly within existing documentation systems.

January 26-27, 2026, 12 pm-4 pm, live via Zoom

$725 Flat Fee

Sample Agenda

  • Welcome, Introductions, Overview  
        Determining what to document using AI
    •    Document development with AI assistance
  • AI in Food Safety
    •    Case studies describing AI applications to food safety 
    •    Modeling approaches for AI
  • AI generation of videos for training tutorials
  • Approaches to AI Use in Document Development
  • Inference with a pre-trained Large Language Model (LLM)
  • Curation of a knowledge base for Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • Breakout – Independent Work Developing First Draft
  • Manual Refinement and Review
  • Case Studies: Identifying Good and Bad Elements of Food Safety Documents
  • Breakout – Reviewing Each Other’s Documents and Report Out
  • Facilitators circulate (AS, CS, LQ, HS), Abby Snyder – report out and facilitated discussion
  • Ethics in AI Use for Food Safety Documentation
  • Breakout – Independent Work on Your Own SOP/Documentation Project

     
Dr. Abigail Snyder
Abby Snyder

Associate Professor

Food Science

Abby Snyder
  • abs276 [at] cornell.edu
Alex Solla
Alexander Solla

Executive Administrator

Dairy Foods Extension

Alexander Solla