RESPONSIBLE ARTIFICIAL INTELLIGENCE IN AGRICULTURE

RESPONSIBLE ARTIFICIAL INTELLIGENCE IN AGRICULTURE

Do Minh Phuong1*, Le Chu Linh1*

[1] Center for Digital Transformation and Agricultural Statistics Ministry of Agriculture and Rural Development.

*Email: dphuong@gmail.com, chulinh16e@gmail.com

SUMMARY

This paper examines the transformative potential of Artificial Intelligence (AI) in revolutionizing agriculture while acknowledging the accompanying challenges and risks. AI offers opportunities for optimizing crop yields, enhancing resource management, automating farming practices, and contributing to food security and climate change mitigation. However, AI deployment in agriculture also raises ethical and societal concerns regarding potential bias, job displacement, data privacy violations, and adverse environmental impacts.

To harness the potential of AI responsibly, the paper proposes a comprehensive governance framework encompassing algorithmic transparency, equitable access, data security, accountability, and sustainable development. It emphasizes the need for capacity building through farmer training, education, and multi-stakeholder collaboration between governments, private sectors, and research institutions. Furthermore, supportive policies, including legal frameworks, investment incentives, and continuous monitoring and evaluation mechanisms, are crucial to ensure that AI applications in agriculture benefit all stakeholders.

Keywords: artificial intelligence, AI, automation, robotics, big data, machine learning.

Reviewer: Ass.Prof.Dr. Pham Quang Ha
Email: dongsongsao8@gmail.com

Received: 02/3/2024

Review completed: 01/11/2024

Accepted: 05/11/2024