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- Convenors:
-
Robert Strong
(Texas AM University)
Rafael Landaverde (Texas AM University)
Laura Palczynski (Harper Adams University)
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- Format:
- Paper panel
Short Abstract:
Our panel seeks investigations of the social implications of AI as a form of technology assessment that anticipates the unforeseen and unintended consequences and opportunities of technological innovation, including cultural, health, welfare, educational, ethical, food, and environmental impacts.
Long Abstract:
We seek papers that advance understanding of Artificial Intelligence (AI) applications and transformative system approaches to enhance food system sustainability. By transformative systems we mean those that offer major and synergistic advances toward the multiple goals of sustainability; productivity, profitability, environmental, animal welfare, and social dimensions. Investigations of the social implications of AI as a form of technology assessment that anticipates the unforeseen and unintended consequences of technological innovation, including cultural, health, welfare, equity, ethical, and environmental impacts are welcome. Predictive AI includes machine learning, deep learning, and neural networks used to forecast trends to inform actors of solutions needed based on the data analyses. Generative AI models generate audio, text, video, and images from existing data to create new content. A critical lesson from past experiences with the application of scientific discoveries and technological innovations to food systems production is that public trust in science begins with and requires ongoing transparency and open deliberation. Submissions can involve a range of stakeholders to assess the AI’s merits and risks and/or examine issues and modes of communication that can result in open and participatory approaches to effectively involve the public and engage with communities potentially impacted by the technology in deliberations over these issues. Papers should assess the social, ethical, educational, cultural, legal, or other potential impacts that a broad range of emerging and disruptive AI technologies, including breakthrough scientific discoveries, may pose for society, food markets, communities and rural prosperity, food production, consumer preferences, and other contexts to model opportunities.