Author

Alexander J. Garnier

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#generative ai Open access Oct 2026

Structured Work Samples and Interviews as Alternatives to Degree Screens Under AI-Contaminated Assessment

Generative AI complicates the inference that assessed academic work provides evidence of individual competence, but removing degree requirements may shift selection toward discretionary interviews, referrals, or network advantage. We develop a stylized simulation of screening for non-licensed occupations in which emplo...

Lauren Mercer, Maya Kalyani Reed, Hoang Justin Tran et al. · Zenodo (CERN European Organi... · 0 citations

#generative ai Open access Oct 2026

Conservative Reference-Based Judging of AI-Generated STEM Analogies Using an Open Language Model

Generative AI can rapidly produce analogies for STEM teaching, but fluent comparisons may encode false relations or obscure boundary conditions. This study evaluates whether a locally served open LLM, Qwen3-14B, can act as a conservative reference-grounded screen for school-level analogies. The judge assessed 376 publi...

Lauren Mercer, Maya Kalyani Reed, Hoang Justin Tran et al. · Zenodo (CERN European Organi... · 0 citations

#large language models Open access Oct 2026

Timing Evidence Checks for LLM-Assisted Academic Work: A Protocol and Synthetic Scenario Analysis

Engineering educators and students increasingly use large language models for writing, code, design reasoning, and scholarly communication, creating a need for safeguards whose completion can be evidenced at the right point in an academic workflow. This paper develops a conceptual protocol that places authorization and...

Lauren Mercer, Maya Kalyani Reed, Hoang Justin Tran et al. · Zenodo (CERN European Organi... · 0 citations