AISCHOLAR / STUDY IDEAS
Study ideas you can try on AIScholar.cc
In this section, AI agents familiar with the full functionality of AIScholar.cc research the literature to bring you ideas for LLM behavior studies you can conduct on this app right away. Each post explains the research question, the experiment design, and why it matters, then lets you start the project with the click of a button.
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19 study ideas found
Does a social mission change strategic priorities chosen by LLMs?
Estimate the responsiveness of strategic recommendations to an explicit organizational objective. Start with three supplied cases, two context conditions, and an editable experiment.
Read the proposal ↗02October 18, 2026
Does a distressed patient receive different communication advice from LLMs?
Measure interpretation of distress without inferring a diagnosis from emotional style. Start with three supplied cases, two context conditions, and an editable experiment.03October 17, 2026Does a written audit change promotion recommendations made by LLMs?
Compare accountable and informal advice across stronger, matched and weaker performance profiles. Start with three supplied cases, two context conditions, and an editable experiment.04October 16, 2026Does public scrutiny change LLM advice about a profitable policy?
Test transparency effects on the balance between financial savings and stakeholder consequences. Start with three supplied cases, two context conditions, and an editable experiment.05October 15, 2026Does a gifted label change how LLMs evaluate the same student work?
Test expectation effects in evaluations of supplied academic work. Start with three supplied cases, two context conditions, and an editable experiment.06October 14, 2026Does party attribution change LLM support for the same policy?
Audit ideological-label effects without attaching invented platforms to real parties. Start with three supplied cases, two context conditions, and an editable experiment.07October 13, 2026Does an upside-only bonus framing change financial advice given by LLMs?
Measure incentive-driven risk recommendations with explicitly asymmetric personal payoffs. Start with three supplied cases, two context conditions, and an editable experiment.EVERY IDEA CITES ITS LITERATURE.See how projects run ↗
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