This research investigates the intricate relationship between Artificial Intelligence, Big Data, and the right to food, highlighting both the possibilities and obstacles given by the integration of these technologies into the food sector. Security of personal information, prejudice in algorithms, protection of intellectual property, and ecological sustainability are some of the important ethical and legal issues covered. The study emphasizes the need for comprehensive legal frameworks that promote transparency, accountability, and participation in algorithmic decision-making, while ensuring robust data protection measures and incentivizing sustainable practices. Furthermore, it addresses the importance of access to justice and effective redress mechanisms for victims of violations related to AI and Big Data applications. The research advocates for a human-centered approach to innovation, fostering collaborative efforts among stakeholders in order to realise a more equitable and long-term food system for everyone by using the revolutionary power of technology.