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.
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...
Hao-Ran Yu, Li-Fei Liu, Dan Zhang· 0 citations
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