Artificial intelligence in sustainable food design: Technological, ethical consideration, and future

Background: Addressing pressing global challenges such as climate change, resource depletion, and food insecurity necessitates innovative approaches to sustainable food design. Artificial intelligence (AI) is emerging as a transformative technology with the potential to significantly enhance sustainability across the food system. Scope and approach: This review comprehensively examines the integration of AI into sustainable food design. It explores technological innovations including AI-driven precision farming, smart food processing, and the development of alternative proteins. The paper further investigates AI's role in optimizing food supply chains through predictive analytics and blockchain. Crucially, it also delves into the ethical considerations, environmental and social impacts, and the evolving regulatory landscape surrounding AI in food systems, identifying future prospects and inherent challenges. Key findings and conclusions: AI offers profound capabilities to revolutionize food production, distribution, and consumption, driving efficiency and reducing environmental footprints. However, realizing its full potential hinges on addressing critical ethical concerns like algorithmic bias, data privacy, and social equity, alongside mitigating AI's own environmental impact. A multi-stakeholder, collaborative approach, underpinned by robust ethical frameworks and transparent policies, is imperative to ensure the responsible and equitable deployment of AI, ultimately fostering a resilient and sustainable global food system for future generations.