AI RESEARCH
Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a Review
arXiv CS.AI
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ArXi:2504.10527v2 Announce Type: replace Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numerous disciplines beyond computer science, including Food Engineering, where there is a growing demand for accurate and reliable predictions to meet stringent food quality standards. However, this requires increasingly complex AI models, raising concerns. In response, eXplainable AI (XAI) has emerged to provide insights into AI decision-making, aiding model interpretation by developers and users.