首页|Artificial Intelligence (AI) and the Future of (Quantitative) Social Science
Artificial Intelligence (AI) and the Future of (Quantitative) Social Science
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from os f.io:“This briefing note explores the transformative potential of Artificial Intellig ence (AI) for quantitativesocial science. It provides an overview of recent adv ancements, outlines possible future scenarios, and examinesthe opportunities an d challenges that AI introduces to the field. Opportunities include substantialgains in productivity across the research process: notably in data analysis, vis ualisation, and dissemination.Researchers could thus spend more time focusing o n research and less time on administrative orrepetitive tasks. Other opportunit ies include using AI algorithms to analyse the increasing vastness ofdata obtai ned in surveys; using AI to improve prediction; and efficiency gains in survey o r experimental design/deployment. Challenges include the potential for a vast in crease in low-quality publications, especiallyif academic incentives remain mis aligned toward quantity rather than quality of research outputs, aswell as the broader existential risks AI may pose.
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