
Year 4 Research Project
Understanding and Overcoming Barriers to Trust in AI Technologies in the Food System
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Description
Our work identifies key stakeholders and critics of AI technologies, learns their logic and perspectives regarding core problems related to AI and/or the food system, works to understand points of resistance (e.g., hesitation, doubts, or logistical, legal, or ethical barriers to using AI) and relational tension between these groups, and then, finally, seeks to frame the problems from within these groups’ own understanding in order to soften tension, bring them to the table, and build pathways forward.
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Team

Aaron Smith
Principal Investigator

Renata Ivanek
Co Principal Investigator

Carrie Alexander
Collaborator
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Publications

Journal Article ⏐ Precision Agriculture 2023Journal Article ⏐ Precis. Agric. 2023
Who Is Responsible for ‘Responsible AI’?: Navigating Challenges to Build Trust in AI Agriculture and Food System Technology
DOI: 10.1007/s11119-023-10063-3

Journal Article ⏐ Frontiers in Artificial Intelligence 2023Journal Article ⏐ Front. Artif. Intell. 2023
Safer Not to Know? Shaping Liability Law and Policy to Incentivize Adoption of Predictive AI Technologies in the Food System
DOI: 10.3389/frai.2023.1298604