Lead image displaying Building Extension's AI IQ title with a photo of the robo-dog

Building Extension’s AI IQ

November 08, 2024 Written by Michele Walfred, Communication Specialist, Photo credit: Jeremy Wayman, Michele Walfred, Jackie Czachorowski

Extension’s Annual Conference focus on Artificial Intelligence

 

Can artificial intelligence (AI) serve as a trusted tool for Cooperative Extension? AI, the ability of computers and machines to think and learn like people, is both intriguing and daunting. 

Extension professionals had an opportunity at their annual conference on October 29, 2024, at the Modern Maturity Center in Dover to drill down to the facts, correlating with Extension’s mission to provide the public with trusted, unbiased and research-based information. They witnessed live demonstrations of the technology and learned about the benefits and limitations of this evolving technological landscape. It all fed into considering how extension agents might ultimately use AI as a tool for extension agents working in public outreach.  

Building Extension’s AI IQ produced eye-opening revelations. Both land-grant institutions, the University of Delaware and Delaware State University, joined in and co-planned the event. The UD Artificial Intelligence Center of Excellence, the AI for Teaching and Learning Working Group, UD Library, Museums and Press and IT Academic Technology Services provided resources and expertise.

UD’s AI Team left to right, Ryan Eagan, a doctoral student in climatology, Dana Veron, associate provost, professor, School of Marine Science and Policy and Co-Director of the Gerard J. Mangone Climate Change Science and Policy Hub, Jevonia Harris, team lead of Educational Software Engineering in UD IT Academic Technology Services, Joe Naccarato, an educational software developer, Lauren Olson, a Ph.D. candidate in the Department of Computer and Information Sciences and a graduate research assistant for the AI Center of Excellence, and Beth Twomey, head of research and engagement from UD Library, Museums and Press.
UD’s AI Team left to right, Ryan Eagan, a doctoral student in climatology, Dana Veron, associate provost, professor, School of Marine Science and Policy and Co-Director of the Gerard J. Mangone Climate Change Science and Policy Hub, Jevonia Harris, team lead of Educational Software Engineering in UD IT Academic Technology Services, Joe Naccarato, an educational software developer, Lauren Olson, a Ph.D. candidate in the Department of Computer and Information Sciences and a graduate research assistant for the AI Center of Excellence, and Beth Twomey, head of research and engagement from UD Library, Museums and Press.

A notable takeaway focused on how a user’s language is phrased when asking AI to provide an answer. Known as prompts, a user interacts with AI via language. Precise vocabulary matters.  

“This hands-on introduction to how Extension professionals may start utilizing AI will pay efficiency dividends for many in the future,” said Erik Ervin, interim director of UD Cooperative Extension. As a professor, Ervin uses ChatGPT, a popular AI model, in his classroom to see how his students might be utilizing AI for classes and research. 

Ervin appreciated AI’s short and long-term potential for staff. “An immediate, big impact could be increased efficiency in updating factsheets or creating new ones,” he said. “Long term, I see AI being very useful for suggesting approaches to youth and adult hands-on learning exercises.”

The key to obtaining useful results is understanding that AI platforms continuously learn from human language and how results evolve accordingly.

Joe Naccarato, UD educational software developer, demonstrated how a request for “a low-sugar chocolate cake recipe” improved with careful wording. He said users should assign a persona to the AI model, such as a ‘registered dietician’ so that the recipes offered by AI reflect that particular expertise.  

“It is not like a Google search where you ask a question. You have to explain to it what you want,” Naccarato said. Assigning a persona helps AI models selectively sift through an overwhelming amount of data and information available on the Internet. 

Trial and error: Amy Shober, an Extension Specialist in Nutrient Management, assessed her AI-generated image after four attempts. It was close, but no cigar. Shober requested an image of a lime application broadcasted to a field containing only corn stubble. Her biggest issue was that the broadcast of lime was too narrow.
Trial and error: Amy Shober, an Extension Specialist in Nutrient Management, assessed her AI-generated image after four attempts. It was close, but no cigar. Shober requested an image of a lime application broadcasted to a field containing only corn stubble. Her biggest issue was that the broadcast of lime was too narrow.

Jevonia Harris, team lead of Educational Software Engineering in UD IT Academic Technology Services, exposed how prompts with coded words can expose biases from information that AI scours from the Internet. The sources AI uses can be indiscriminate – AI tools grab the good, the bad and the ugly. 

Harris focused on the concerns of information bias. “The more of an expert you are in a subject, the better you can use AI,” Harris said. “We need to be aware of where this information comes from.”

 

Biases were apparent when AI produced side-by-side images depending on the prompt keywords. Left, vocabulary included math tutoring for upper-middle-class private school students versus right, an urban student receiving math help in a public school. Harris quickly noted the difference in the math equations.
Biases were apparent when AI produced side-by-side images depending on the prompt keywords. Left, vocabulary included math tutoring for upper-middle-class private school students versus right, an urban student receiving math help in a public school. Harris quickly noted the difference in the math equations.

“The bias in the data is those keywords,” Harris explained. “You have to be very thoughtful, very intentional and very critical every time you prompt.” We have to have a discerning eye for coded words and how they will be translated.” 

Dana Veron’s initial prompt of a farmer facing drought conditions offered an unsatisfactory stereotypical male farmer in a large straw hat surrounded by a hostile, unfamiliar environment. Further tweaks rendered better images.
Dana Veron’s initial prompt of a farmer facing drought conditions offered an unsatisfactory stereotypical male farmer in a large straw hat surrounded by a hostile, unfamiliar environment. Further tweaks rendered better images.

Ethical hurdles and unknowns remain with AI: attribution of results, protection of intellectual property and copyright, and recognition of bias, as well as the significant energy and environmental footprint required to power AI.

The issue of authorship can have ramifications when submitting grants. Beth Twomey, head of research and engagement from UD Library, Museums and Press, offered her department as a source for grant writers before submitting proposals. In many cases, the use of AI is restricted.

“If you are working on grant proposals, especially involving the government, there are a lot of guidelines on using generative or AI intelligence in grant proposals. You don’t want to apply for a grant proposal and find out it was denied just because you used these tools,” Twomey said.

After the Friends of Extension presentation during lunch, Extension staff from Delaware State University, Gulni Ozbay, Rose Ogutu and Kwamie Matthews and graduate students shared some of their experiences working with technology in collaboration through their Center for Excellence for Emerging Technologies. Those technologies included drone surveillance and thermal imaging to detect health issues in small ruminants, climate-smart coastal farming and a robotic dog.

Delaware State University demonstrated its use of advanced technology to diagnose climate strategies, plant health and thermal imaging for animal health.
Delaware State University demonstrated its use of advanced technology to diagnose climate strategies, plant health and thermal imaging for animal health.

Friends of Extension Awards

 

In achieving its mission of Extending Knowledge and Changing Lives, Delaware Cooperative Extension works with individuals and organizations who help disseminate trustworthy, unbiased, university-researched information to the public. Each year at the conference, external partners are celebrated across program areas in agriculture, horticulture, health and wellbeing (formerly family consumer science) and 4-H youth development. 

UD Friends of Extension, left to right, Sen. Gary Simpson, Jack Layton, Midline Oware and Michael Short
UD Friends of Extension, left to right, Sen. Gary Simpson, Jack Layton, Midline Oware and Michael Short

The University of Delaware recognized:

 

  • Delaware Sen. Gary Simpson (retired) for his lifelong support of the Delaware 4-H program

  • Jack Layton, a certified Livable Lawn landscaping professional for sustainable landscape efforts 

  • Midline Oware, program manager for Children & Families First, for her work partnership in Health and Well-Being programming in Seaford

  • Michael Short, UD Class of 1982, is a freelance reporter for Lancaster Farming. He was honored for his coverage of many Extension programs 

     

Delaware State University honored:

 

  • Jane Harris for her 20+ years of volunteer support with 4-H Youth programs

  • Meredith Abbath for her key role in their Farm School and Incubator Farmer program.

  • Marimba Ivery, for her partnering with Extension’s Expanded Food and Nutrition Education Program (EFNEP) to promote healthy lifestyles with local students 

 

Additional photos are available on the Extension Flickr site. 

 


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