Articles Tagged with ''artificial intelligence''

Potential uses include pathogen and chemical hazard detection, food fraud identification, outbreak surveillance, risk forecasting, and regulatory decision-making. Barriers to wider adoption remain, such as data quantity, quality, and accessibility; confidentiality; and transparency. 

In this bonus episode of Food Safety Matters, we speak to Dr. Mindy Brashears, Under Secretary for Food Safety at the U.S. Department of Agriculture (USDA) and Dr. Justin Ransom, Administrator of USDA's Food Safety and Inspection Service (FSIS), about the future of food safety oversight at USDA. With Dr. Brashears, we discuss FSIS' emerging Salmonella SAFE Strategy and Salmonella Gold Standard, the agency's evolving approach to Listeria control, and the creation of a new scientific advisory panel. Dr. Ransom dives into how FSIS is using connected data, AI, and other emerging technologies to strengthen inspection and identify food safety risks earlier.

Organized by a team from Wageningen University and Research, the inaugural AI for Food Safety Conference (AIFS) is set to take place on April 8–9, 2027 in Ede, the Netherlands.

At a Food Safety NEXT Industry Roundtable on June 25, senior business leaders came together to share, collaborate, and innovate meaningful improvements for supply chain risk management using enterprise AI. Food Safety Magazine is the exclusive media partner for Food Safety NEXT.

Central to the strategy are food industry-specific tools designed to support product development, regulatory compliance, traceability, and commercialization for food and beverage companies.

AI has moved into food safety programs faster than policies, procedures, and comfort levels can adapt. The gap between what organizations say and what people do regarding AI use is one of the most interesting—and potentially risky—signals from this Food Safety Insights survey.

Staying in compliance with food laws and avoiding food safety incidents requires more than ticking compliance boxes—it demands a strategic investment in people. 

AI-enhanced biosurveillance, integrated sensor networks, and intelligent analytics have been framed as critical enablers of safer, more efficient food systems. At the same time, the field has begun to acknowledge that the same tools that drive efficiency and predictive power can also be turned against the food system itself. 

SnackPro, which helps users identify potential allergens in foods through image analysis, was developed by the father of a child with severe food allergies.

Peak Automation Intelligence by Peak Technologies uses machine vision, smart optics, mobile computing, and unified analytics to provide an automated view of pallets and packages, material movement, and dock workflow.