Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
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Andreas Bauer
Provider-ID corpus identity
Auditable corpus entity, not proof of personhood. Provider records and exact ORCID evidence can be incomplete or wrong. Aliases below document source observations; they are not name-based merges. Every count below reflects only papers this corpus has fetched, not this person's complete publication record.
3 Distinct papers
0 Unique collaborators
3/3 Semantic Scholar citation coverage
Publication span: 2026.
Corpus fetch span: 2026.
Identity provenance
Provider IDs
Semantic Scholar : 2451476022
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
Andreas Bauer (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
Governance: 3 papers
Human Ai Collab: 3 papers
Labor Markets: 2 papers
Adoption: 1 paper
Productivity: 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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Andreas Bauer's distinct papers under the selected provider observation surface.
Paper Author evidence Date Provider citations
Contract law, not just technology, decides whether firms can certify retained human skills: in jurisdictions where liability exposure is constrained by penalty doctrines, pooled indemnity, or mandatory cap floors, firms cannot use caps to signal fallback capability and simulations predict falling engagement and eventual skill erosion. The paper shows regulators and managers must treat liability rules as workforce‑capability instruments, because the legal margin binding in each jurisdiction determines whether operational investments or contractual pledges can sustain human competence. arxiv Andreas Bauerprovider id
2026-08-06
0
As generative AI makes deliverables indistinguishable, firms can certify preserved human competence by posting liability pledges that are cheaper for better-trained providers; this restores market separation, redirects whom firms train, and excludes free-riders — but only for contracts whose size makes enforcement feasible. arxiv Andreas Bauerprovider id
2026-08-04
1
Generative AI has erased the scarcity of polished expert deliverables, collapsing competence signals and driving price pooling and exit among high-quality providers; outcome-contingent liability—verifiable warranties with sufficient damages—can re-establish differentiation, but only above a minimum ticket size and subject to insurance and enforcement constraints. openalex Andreas Bauerprovider id
2026-07-28
3
Citation observation summary
Semantic Scholar supplied counts for 3 of 3 papers in this view; 0 are missing.
The observed paper counts sum to 4 cumulative citations. This is a coverage summary, not an author score or h-index.