Associate Professor, Dr. Nguyen Thi Que Anh - Rector of the University of Law, Vietnam National University, Hanoi presented an overview of artificial intelligence in the agricultural sector and identified ethical and social challenges. She emphasized the increasingly important role of artificial intelligence in the agricultural sector, especially in creating precision agriculture; supporting effective management in the agricultural sector, promoting sustainable agriculture and food security.

With AI in precision agriculture, customizing resource use and thereby increasing productivity, barriers to food security in developing countries can be overcome. AI-enabled services can reduce environmental stress, reduce food waste, and improve farmers’ information intelligence to track data and achieve better results.

However, the application of artificial intelligence in agriculture also creates major ethical and social challenges related to ensuring fairness and equality in access to technology, protecting privacy and data security, narrowing the digital divide, etc. The maximum use of artificial intelligence in agricultural production can only be achieved through joint efforts towards responsible research and application of this technology. Accordingly, researchers must develop user-friendly and cost-effective artificial intelligence tools that farmers can access at any scale of production. Stakeholders must develop policies to ensure data security and protect farmers when applying this technology.

Mr. Dang Duy Hien - Deputy Director of the Center for Digital Transformation and Agricultural Statistics, Ministry of Agriculture and Rural Development provided a panoramic picture of the current situation and orientation for the development and application of artificial intelligence in the agricultural sector in Vietnam. Mr. Hien clearly stated that information technology, digital transformation and artificial intelligence have been and are being applied relatively widely in the "agricultural production value chain" in Vietnam from preparation (agricultural extension), to developing new crop varieties, applying drones in care, pest management, optimizing harvest time, and etc.