← Authors

Jonathan H. Westover

Provider-ID corpus identity

3Distinct papers

0Unique collaborators

3/3Semantic Scholar citation coverage

Publication dates unavailable. Corpus fetch span: 2026.

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Identity provenance

Provider IDs

Semantic Scholar: 2315533456

ORCID evidence

No valid ORCID is stored.

Observed aliases (1)

Jonathan H. Westover (semantic scholar, provider refresh)

Topics and outcomes in this view

Assessment themes

Productivity: 3 papers
Adoption: 2 papers
Human Ai Collab: 2 papers
Org Design: 2 papers
Governance: 1 paper
Inequality: 1 paper
Labor Markets: 1 paper
Skills Training: 1 paper

Claim outcomes

Decision Quality: 2 papers
Organizational Efficiency: 2 papers
Adoption Rate: 2 papers
Firm Revenue: 2 papers
Governance And Regulation: 2 papers
Other: 2 papers
Creativity: 1 paper
Fiscal And Macroeconomic: 1 paper
Firm Productivity: 1 paper
Research Productivity: 1 paper
Employment: 1 paper
Error Rate: 1 paper
Inequality: 1 paper
Labor Share: 1 paper
Market Structure: 1 paper
Skill Acquisition: 1 paper
Team Performance: 1 paper
Turnover: 1 paper

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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Jonathan H. Westover's distinct papers under the selected provider observation surface.
Paper	Author evidence	Date	Provider citations
Firms often use AI as a pretext for cost-cutting driven by short-termist managers and incentive structures; unchecked, such layoffs can erode demand and trigger further automation. Policymakers should consider a phased shortening of the standard workweek—paired with conditional supports—to stabilize employment, sustain consumer purchasing power, and distribute productivity gains more equitably.semantic_scholar	Jonathan H. Westover provider id	Fetched 2026-03-18	0
State-of-the-art LLMs sharply boost human task performance—GPT‑4o increases accuracy by ~29 percentage points and Llama‑3.1‑8B by ~23—yet these gains hinge on a distinct collaborative ability rooted in perspective-taking, not just raw problem‑solving skill.semantic_scholar	Jonathan H. Westover provider id	Fetched 2026-03-17	1
A cross-model audit of 70+ LLMs on ~26,000 real queries finds outputs have become strikingly similar, creating an 'Artificial Hivemind' that erodes stylistic and cognitive diversity; firms must invest in governance, process redesign and multi-model strategies to avoid correlated errors and loss of creative value.semantic_scholar	Jonathan H. Westover provider id	Fetched 2026-03-12	0

Citation observation summary

Semantic Scholar supplied counts for 3 of 3 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.