todo: banner-image
Year 3 Research Project
Understanding and Overcoming Barriers to Trust in AI Technologies in the Food System

>_

Description

Projects from Year 1 and Year 2 have gathered information on the research and development process within AIFS and learned the specific issues facing farmers. The researchers found that current AIFS research, development, and technology transfer depend on data and partnerships outside of AIFS. Additionally, the team conducted interviews on the challenges faced by farmers in acquiring labor and complying with regulations, both of which interact directly with barriers and opportunities for AI. For Year 3, the researchers will build on the information they have already gather to add three main areas to their body of work.

First, they will evaluate and refine an ethics framework aimed at recognizing the implications of various research processes. second, the team will interview more California farmers to widen the stakeholder group. In addition to farmers, researchers will add new perspectives by interviewing regulators, farm advisers, labor groups, ag tech developers, and food processors. This will provide a more holistic perspective of the challenges to adopting AI technologies in the food space. Finally, the team will look at the economic benefits of applying advanced technology in real world scenarios. Comprehensive efforts like this project further AIFS mission to further AI infrastructure and support healthy food systems.

>_

Team

todo

Aaron Smith

Principal Investigator

todo

Gabriel Youtsey

Co Principal Investigator

todo

Renata Ivanek

Co Principal Investigator

todo

Ethan Ligon

Collaborator

todo

Carrie Alexander

Collaborator

>_

Publications

todo
Journal 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
todo
Journal 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