Enabling Responsible AI-Driven Agri-Food Innovation in Ontario: Challenges and Opportunities

Adopting artificial intelligence (AI) in Ontario’s agri-food sector can enhance productivity and boost competitiveness, market opportunities, and sector strength. However, without responsible innovation that addresses societal concerns, the sector might face issues like adoption indifference, job displacement, inequality, and ethical dilemmas. AI adoption varies by sector and value chain, necessitating different skills for workers based on the AI technologies implemented. Responsible innovative technologies in agriculture have the potential to generate jobs that attract multiple skills. Initiatives focusing on skill development in digital farming technologies can increase the employability of individuals from various backgrounds and promote inclusivity in the agricultural sector. This research employs a mixed-methods approach to explore key factors influencing AI adoption in Ontario’s horticultural and livestock sectors, associated challenges and opportunities, and essential skills and knowledge for agri-food workers. The goal is to understand how AI can responsibly increase the competitiveness and growth of Ontario’s agri-food sector. It will provide opportunities for the improved support of agri-food workers, enhanced public policy, and strategic investments in programs that can empower a broader range of skills needed to contribute to the industry's technological transformation. Preliminary findings highlight key competencies for AI adoption, associated challenges, and potential benefits.