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The 1st International Workshop on AI Data Scientist

Aug 2026 · Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 · 0 citations · 16 references

Abstract

As data volumes and analytical demands grow, traditional data science workflows struggle to meet the need for efficiency, scalability, and reliability. The rapid advancement of large language models (LLMs) has opened new possibilities for AI-powered agents to augment or automate end-to-end data science pipelines—from data exploration and cleaning to modeling, evaluation, and deployment. This emerging paradigm, termed the AI Data Scientist, has gained significant attention in research and industry, yet discussions remain fragmented regarding its integration, evaluation, and real-world impact. This workshop seeks to consolidate these efforts by providing an interdisciplinary forum for presenting cutting-edge research, sharing deployment experiences, and showcasing real-world systems. The workshop will feature invited talks, paper presentations, a demo track, and a panel discussion, aiming to foster community-building and guide responsible development in this rapidly evolving field.

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