Text-to-SQL, table question answering and semantic parsing appear on only 12 recent papers, all in AI journals, none in business ones. Firms are rolling out assistants that turn managers' questions into database queries. How often do the queries return the wrong numbers, and would a manager notice?
Confidence calibration and uncertainty calibration appear on 54 recent papers, mostly in AI journals, and 35 calibration papers involve language or vision-language models, with 94 calibration-related papers in the last quarter against about 57 per quarter before. When a model answers a financial or legal question, its stated confidence rarely matches its accuracy. Can calibration be fixed, and do users read it?
Papers in the last 30 days — uncertainty calibration: 1
Trust in AI appears on 76 recent papers, algorithm aversion on 10 and algorithm appreciation on 3, across the AI and management journals, with 28 papers in the last quarter against about 25 per quarter before. People once rejected algorithmic advice after seeing it err. Language models that explain themselves fluently may get too much trust instead. Which way does it go, and for whom?
Papers in the last 30 days — algorithm aversion: 1 · trust in AI: 5
Scholar4AI. (2026). Research ideas tagged “decision-making”. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/ideas/tags/decision-making
@misc{scholar4ai-ideas-tags-decision-making,
author = {{Scholar4AI}},
title = {Research ideas tagged “decision-making”},
year = {2026},
howpublished = {\url{https://scholar4ai.com/ideas/tags/decision-making}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).