Reproduce “Why Organizational Rules Fail AI: O-I-B-A-R and the Externalization of Decision Boundaries” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Chao Li, Chunyi Zhao
The authors propose O-I-B-A-R, a framework for representing organizational decision boundaries and revising them after failures. It pairs conditions where a judgment holds with concrete failures, identifies decision-relevant dimensions, and turns unknown values into specific questions or human handoffs. A formal argument shows an IS-only representation can conflate cases requiring different responses; real-world performance remains untested.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.