Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
The 1st Workshop on AI for Data Editing aims to bring together researchers, practitioners, and policymakers to explore innovative AI-driven solutions for the multifaceted challenges in data editing. As data grows exponentially, there is an urgent demand for advanced strategies in data preprocessing, cleaning, transformation, quality control, as well as better understanding of complex interdependencies in large-scale data workflows. This workshop will delve into the latest AI technologies to facilitate efficient, accurate, and human-centric data editing processes.
The workshop is held in conjunction with the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2025), one of the world's premier conferences in data science, data mining, and big data analytics. Organized by ACM SIGKDD, KDD is a key platform where researchers, practitioners, and industry experts present groundbreaking advancements and explore emerging trends in data mining, machine learning, and AI. This partnership provides the workshop with a vital forum for interdisciplinary knowledge exchange, fostering collaboration among data scientists, domain experts, and policymakers.
Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025
Gosia Lazuka, Andreea Simona Anghel, et al.
SC 2024
Yidi Wu, Thomas Bohnstingl, et al.
ICML 2025