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Sanmi Koyejo

Provider-ID corpus identity

4Distinct papers
48Unique collaborators
4/4Semantic Scholar citation coverage

Publication span: 2026. Corpus fetch span: 2026.

Explore collaboration neighborhood Browse this author's papers

Identity provenance

Provider IDs

  • Semantic Scholar: 123593472

ORCID evidence

No valid ORCID is stored.

Observed aliases (1)
  • Sanmi Koyejo (semantic scholar, provider refresh)

Topics and outcomes in this view

Assessment themes

  • Adoption: 4 papers
  • Productivity: 3 papers
  • Human Ai Collab: 2 papers
  • Org Design: 2 papers
  • Governance: 1 paper
  • Innovation: 1 paper
  • Skills Training: 1 paper

Claim outcomes

Papers in the Semantic Scholar view

Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.

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Sanmi Koyejo's distinct papers under the selected provider observation surface.
PaperAuthor evidenceDateProvider citations
Coding agents increase development velocity by roughly 28–38% across repositories, but repositories that did not commit AI configuration suffer far larger quality declines—about a twofold rise in cognitive complexity (≈+53% vs +27%) and a 1.7× increase in static-analysis warnings—while repositories with committed AI configuration show attenuated quality costs.arxiv Sanmi Koyejo
provider id		 2026-08-26 0
Insurance can unlock a multi‑trillion dollar AI agent economy, but current silent coverage and rising correlated risks mean coverage must be redesigned; industry-wide standards, pooled instruments and government backstops are needed to enable billion-dollar affirmative policies and manage catastrophic AI scenarios.openalex Sanmi Koyejo
provider id		 2026-07-13 0
A single firm's AI coding push coincided with a doubling of developers' merged pull requests to 2.09x pre-mandate levels by April 2026; evidence links most of the gain to voluntary adoption and accumulated use, and code-review work shifted heavily toward automation without higher revert rates.openalex Sanmi Koyejo
provider id		 2026-07-02 0
A large study of 6,000 live coding-agent sessions finds agents either write almost all or none of committed code — 41% 'vibe coding' versus 23% human-only — yet only 44% of agent-produced code survives into commits and agent contributions carry more security flaws, with users pushing back in 44% of interactions.arxiv Sanmi Koyejo
provider id		 2026-04-22 26

Citation observation summary

Semantic Scholar supplied counts for 4 of 4 papers in this view; 0 are missing. The observed paper counts sum to 26 cumulative citations. This is a coverage summary, not an author score or h-index.