Artificial intelligence is becoming a practical tool across food safety. Cameras inspect visible defects; connected sensors follow cold chains; algorithms interpret complex laboratory signals; predictive models estimate microbial behavior; language systems organize reports; and network analytics accelerate traceability and outbreak investigation. These applications can extend human capability across a food system too large and dynamic for any person to observe alone.
This book is application-centered. It explains what each tool does, what data it needs, how its output enters a real decision, and how the result is confirmed. It also keeps the boundaries clear: AI is not a pathogen test, a critical limit, a recall authority, or a substitute for professional responsibility unless those roles are established through valid science, law, and governance.