Responsible AI, Corporate Sustainability and Precision Farming in Climate Vulnerable Agricultural Systems: Evidence from the United States, West Africa and Central America

Abstract: Agriculture faces major challenges to yield, environmental sustainability and food security due to climate change in both developed and developing countries. As AI and precision farming technologies become more prevalent, the potential to improve crop productivity and sustain resources grows. Artificial Intelligence (AI) and precision farming technologies offer new opportunities to boost agricultural efficiency and manage resources sustainably. This research explores the connection between responsible use of AI, corporate sustainability and precision farming in climate-sensitive agricultural systems based on empirical data from the USA, West Africa and Central America. In particular, the research will explore how responsible AI can shape Sustainable Agriculture Outcomes, the impact of Precision Farming on Climate Resilience and Environmental Sustainability, and the role of AI governance in Sustainable Agriculture Investment.

The study is of quantitative research type with secondary data obtained from different international agricultural, environmental and economic databases from the selected regions. Descriptive data, correlation analysis and multiple regression analysis were used to identify the relations between the variables of the study. Results suggest that there is an overall positive and statistically significant correlation between responsible AI adoption and sustainable agricultural performance.

Based on the study, the integration of responsible AI principles and precision agriculture can enhance the resilience against climate-related risks in agriculture and bolster corporate sustainability initiatives. The results are relevant to policy makers, agribusiness and investors interested in supporting sustainable agricultural transition based on responsible technological innovation and development agencies. The study calls for more investment in agricultural technologies that are powered by AI, improved governance frameworks for responsible use of AI, and improved cooperation among governments, private sector, and international development partners in the development of climate resilient agricultural systems.

Keywords: Responsible artificial intelligence; corporate sustainability; precision farming; climate resilience; ESG, sustainable development; carbon efficiency.