AIMC Topic: Social Sciences

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A Looking Glass into a Research Wonderland: Decades of Virtual Reality Scholarship Explicated Via Natural Language Processing.

Cyberpsychology, behavior and social networking Feb 5, 2025
How has the field of virtual reality (VR) evolved and what type of research has made an impact? We used natural language processing techniques and generative artificial intelligence to develop the most complete review of experimental social science V...
Humans Artificial Intelligence Natural Language Processing Social Sciences Research Virtual Reality
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Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Science and engineering ethics Dec 24, 2024
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically s...
Ethics, Research Bias Stakeholder Participation Social Sciences Anthropology, Cultural Focus Groups Artificial Intelligence Humans Delivery of Health Care
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Evaluating Explanations From AI Algorithms for Clinical Decision-Making: A Social Science-Based Approach.

IEEE journal of biomedical and health informatics Jul 2, 2024
Explainable Artificial Intelligence (XAI) techniques generate explanations for predictions from AI models. These explanations can be evaluated for (i) faithfulness to the prediction, i.e., its correctness about the reasons for prediction, and (ii) us...
Artificial Intelligence Algorithms Humans Decision Support Systems, Clinical Social Sciences Clinical Decision-Making Sepsis
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Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework.

Current opinion in psychology Jul 1, 2024
Algorithmic bias has emerged as a critical challenge in the age of responsible production of artificial intelligence (AI). This paper reviews recent research on algorithmic bias and proposes increased engagement of psychological and social science re...
Social Sciences Humans Artificial Intelligence Algorithms Bias
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Verbal behavior and the future of social science.

The American psychologist May 30, 2024
Natural language processing (NLP)-previously the domain of a select few language and computer scientists-is undergoing an unprecedented surge in popularity across disciplines. The ubiquity of language data, alongside extremely rapid methodological in...
Forecasting Humans Social Sciences Verbal Behavior Natural Language Processing
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Can Generative AI improve social science?

Proceedings of the National Academy of Sciences of the United States of America May 9, 2024
Generative AI that can produce realistic text, images, and other human-like outputs is currently transforming many different industries. Yet it is not yet known how such tools might influence social science research. I argue Generative AI has the pot...
Artificial Intelligence Social Sciences Humans
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AI and the transformation of social science research.

Science (New York, N.Y.) Jun 15, 2023
Careful bias management and data fidelity are key.
Social Sciences Artificial Intelligence Humans Bias
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The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.

Psychological methods May 1, 2023
The language that individuals use for expressing themselves contains rich psychological information. Recent significant advances in Natural Language Processing (NLP) and Deep Learning (DL), namely transformers, have resulted in large performance gain...
Natural Language Processing Humans Semantics Social Sciences Language
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Researcher reasoning meets computational capacity: Machine learning for social science.

Social science research Oct 29, 2022
Computational power and big data have created new opportunities to explore and understand the social world. A special synergy is possible when social scientists combine human attention to certain aspects of the problem with the power of algorithms to...
Social Sciences Humans Machine Learning
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A data driven methodology for social science research with left-behind children as a case study.

PloS one Nov 20, 2020
For decades, traditional correlation analysis and regression models have been used in social science research. However, the development of machine learning algorithms makes it possible to apply machine learning techniques for social science research ...
Workflow Data Analysis Neural Networks, Computer Education Machine Learning Parents China Child, Abandoned Humans Social Sciences Algorithms Models, Theoretical Child
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