181 citations · 185 across the 6 of their papers we have counts for
3 papers · 1 filter
A Catalog of Data Errors
Divya Bhadauria, Hazar Harmouch, Felix Naumann +2
Data errors are widespread in real-world databases and severely impact downstream applications, such as machine learning pipelines or business analytics reports. Causes of such err…
Machine Learning Practitioners' Views on Data Quality in Light of EU Regulatory Requirements: A European Online Survey
Yichun Wang, Kristina Irion, Paul Groth +1
Understanding how data quality aligns with regulatory requirements in machine learning (ML) systems presents a critical challenge for practitioners navigating the evolving EU regul…
"Detective Work We Shouldn't Have to Do": Practitioner Challenges in Regulatory-Aligned Data Quality in Machine Learning Systems
Yichun Wang, Kristina Irion, Paul Groth +1
Ensuring data quality in machine learning (ML) systems has become increasingly complex as regulatory requirements expand. In the European Union (EU), frameworks such as the General…