This work develops a Carbon-Aware AI Procurement Framework (CAAPF), a Green IS design artifact that operationalizes sustainable AI governance for enterprise procurement, and suggests that environmental responsibility and decision quality can be mutually reinforcing.
Code review is a key quality checkpoint between AI-generated code and production and reviewer adaptation is detectable in latent distributional structure rather than in classical lexical metrics, and language shifts follow rather than precede changes in approval behavior.
Multimodal clinical decision-making requires reliable reasoning over heterogeneous evidence from electronic health records, medical images, and physiological signals. Existing models typically map these inputs directly to diagnoses without explicitly assessing evidence sufficiency, tool-use requirements, or diagnostic...
Budget-aware evaluation for Active RAG evaluation is studied by recasting active retrieval as utility estimation, where retrieval is valuable only through its marginal correctness change over a no-retrieval answer.
Pinyan Qian, Su Wang, Chong Peng et al.· arXiv.org· 3 citations· ⚡1
Choosing a deferral policy for a frozen classifier requires more than ranking uncertain cases: confidence may be miscalibrated, errors have unequal costs, reviewers can err, and deployment data can leave calibration support. We study these interactions through EcoTrust, a post-hoc framework that compares automatic acti...
A two-layer attestation design for dynamic delegation without a shared authority, public log, or precommitted workflow is presented, which compares a signed linked list, a Merkle-chain variant, and a co-signed DAG.
VERA (Verifiable Edge Revocation for Agents), a verifier-checkable revocation contract and API emitted by agent-runtime adapters as signed evidence, is introduced and schema portability on A2A, AutoGen, and CrewAI artifacts is validated.
This work introduces the Counterfactual Fabrication Lab, a deterministic micro-lab where the correct action is known: do nothing, and presents the Counterfactual Fabrication Lab for measuring fabricated failures in self-improving agent harnesses.
Su Wang, Pinyan Qian, Yifan Lin et al.· arXiv.org· 6 citations· ⚡2
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