Data Quality, Data Centric AI
Feb 13, 2023
Data scientists receive little training in how to collect data, leaving them unprepared when they need to quickly gather annotations.
My background in survey data collection has taught me how to collect high quality data; my expertise can save data scientists money and time in model development.
Stephanie Eckman
Researcher & Data Scientist
I collect high quality data for social science and model training
Publications
Whether future AI models are fair, trustworthy, and aligned with the public’s interests rests in part on our ability to collect …
Stephanie Eckman, Barbara Plank, Frauke Kreuter
When training data are collected from human annotators, the design of the annotation instrument, the instructions given to annotators, …
Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter
Although often seen as a gold-standard, human labeled training data is not error free. Decisions in the design of labeling tasks can …
Jacob Beck, Stephanie Eckman, Rob Chew, Frauke Kreuter
Events
Whether future AI models make the world safer or less safe for humans rests in part on our ability to efficiently collect accurate data …
May 30, 2024 12:00 PM
Stephanie Eckman
5 minute lightening talk on methods to collect annotations for NLP models
Aug 22, 2023 6:30 PM
Arlington, VA
Stephanie Eckman
As many in the AI field transition from a model-centric to a data-centric approach, the quality of training data is receiving increased …
May 11, 2022 8:30 AM
Stephanie Eckman