Browsing Auburn University Libraries by Subject "artificial intelligence"
Now showing items 1-3 of 3
"Everyone wants to do the model work, not the data work": Data Cascades in High-Stakes AI
(2022-04-13)
Those who work with data have learned the importance of provenance, documentation, standardization, context, and metadata in maintaining the quality of datasets. This was historically done to preserve their utility for ...
We Are All Data Now
(2024-01-19)
An abiding concern for the responsible use of data is nothing new for those of us among the ranks of data professionals. Whether from the perspective of research, education, commerce, or policy, careful consideration of ...
Welcome to the Machine: Ir/Responsible Use of Machine Learning in Research Recommendation Tools
(2023-03-17)
Machine learning is changing how researchers interact with scholarly literature. While it has the potential to reveal exciting new connections between areas of study, popular commercial tools that provide recommendations ...