paperAugust 2026UnreviewedOpen access

Shifting the Unit of Safety: From Model to System in the Generative and Agentic Era

Sakshi Jain

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Abstract

For a decade, responsible AI at internet scale rested on a reassuring assumption: that risk lives primarily in a model, it is a unit you can isolate, and that privacy, fairness and safety is therefore something you certify at model level, before launch. At LinkedIn, where AI shapes access to jobs and economic opportunity for over a billion members, we built our fairness, privacy, and explainability assurance on exactly this foundation, and it worked. Then generative AI dissolved the unit, and ag

Cite

@inproceedings{jain2026shifting,
  title = {{Shifting the Unit of Safety: From Model to System in the Generative and Agentic Era}},
  author = {Sakshi Jain},
  year = {2026},
  month = aug,
  booktitle = {Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2},
  doi = {10.1145/3770855.3818635},
  url = {https://www.semanticscholar.org/paper/2824a603d456763cbae13f3650fcf785565615ce}
}