Navigating ethical AI in Agriculture
AI’s potential in farming—from crop health monitoring to yield prediction—is vast, yet it raises pressing ethical questions. How do we ensure equitable AI benefits among farmers? Can AI inadvertently widen the socio-economic gap in rural communities?
Experts and stakeholders delved into these issues in the “Responsible Artificial Intelligence in Agriculture” seminar last week. Sponsored by the Aus4Innovation Program and hosted by the University of Law (Vietnam National University), the event sparked crucial discussions on leveraging AI for a more efficient and equitable agricultural sector. The workshop underscored the importance of precise agriculture, digital evolution, and deliberate policy-making to foster secure, innovative advancements.
This marks the conclusion of a thematic seminar series on responsible AI across various sectors. More discussions will be continued through case studies and other interactions with stakeholders and conferences. Insights gathered from these sessions will inform the creation of guidelines for ethical AI use in healthcare, education, and agriculture.
Deepest gratitude goes to every participant and the organizers for their pivotal role in forging a future that’s both technologically advanced and socially impartial.
Led by Assoc. Prof. Dr. Nguyen Thi Que Anh, the event unfolded as a vibrant interface among academia, industry leaders, and policy shapers, including notable representatives from the Ministry of Agriculture and Rural Development, the Ministry of Science and Technology, and the Aus4Innovation Program.
Also chosen to be funded by Aus4Innovation Partnership Grants scheme is a project about developing a Responsible AI and digitalisation system designed specifically for agriculture. The aim is to bring about a major shift in how farming standards and traceability are managed by using data stream processing and complex event processing technologies to enable up-to-the-minute gathering and analysis of farm data, allowing for the rapid identification and resolution of any compliance issues.
In the latest fourth round of Aus4Innovation Partnership Grants, a project focused on enhancing crop monitoring and information access for smallholder farmers and stakeholders was selected as a winner. Using field data and AI algorithms, it aims to achieve farm-scale resolution mapping for rice and fruit crops, enabling farmers to make informed decisions to improve crop yield and household income.
Also chosen to be funded by Aus4Innovation Partnership Grants scheme is a project about developing a Responsible AI and digitalisation system designed specifically for agriculture. The aim is to bring about a major shift in how farming standards and traceability are managed by using data stream processing and complex event processing technologies to enable up-to-the-minute gathering and analysis of farm data, allowing for the rapid identification and resolution of any compliance issues.
Also chosen to be funded by Aus4Innovation Partnership Grants scheme is a project about developing a Responsible AI and digitalisation system designed specifically for agriculture. The aim is to bring about a major shift in how farming standards and traceability are managed by using data stream processing and complex event processing technologies to enable up-to-the-minute gathering and analysis of farm data, allowing for the rapid identification and resolution of any compliance issues.
