AI and data
Alrighty let’s briefly introduce this topic. AI or LLMs are the latest shiny object in the world of research and everyone wants to use it and create really cool things! I, myself, am just starting to drink the Kool-Aid by using CoPilot to clean up some of my writing – not these blog posts – obviously!!
Now, all these really cool AI tools or agents use data. You’ve all heard the saying “Garbage In…. Garbage Out…”? So, think about that for a moment. IF our students and researchers collect data and create little to no documentation with their data – then that data becomes available to an AI agent… how comfortable are you with the results? What are they based on? Data without documentation???
Let’s flip the conversation the other way now. Using AI agents for data creation or data analysis without understanding how the AI works, what it is using for its data, how do the models work – but throwing all those questions to the wind and using the AI agent results just the same. How do you think that will affect our research world?
I’m not going to dwell on these questions – but want to get them out there and have folks think about them. Agri-food Data Canada (ADC) has created data documentation tools that can easily fit into the AI world – let’s encourage everyone to document their data, build better data resources – that can then be used in developing AI agents.
