Applying AI to Social Science and Social Science to AI
A special issue of Social Sciences (ISSN 2076-0760).
Deadline for manuscript submissions: closed (15 January 2024) | Viewed by 29162
Special Issue Editors
2. UCL Department of Experimental Psychology, University College London, London WC1H 0AP, UK
Interests: machine learning; big data; Internet of Things; XAI (explainable artificial intelligence); association rules
Interests: cyberbullying; developmental psychology
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) models human behavior, decision making and reasoning. The study of human reasoning has also inspired the development of new models. AI practitioners have also attempted to build more understandable AI models and provide clearer indicators of how a model has arrived at a decision. This emerging field is called Explainable AI (XAI). Meanwhile, social scientists have begun to outline what would make for a better XAI explanation and how we can evaluate people’s reactions to these explanations.
This Special Issue aims to showcase research on the theoretical and practical applications of AI to the social sciences and vice versa. A subset of papers will be selected from the 15th International Conference in Flexible Query Answering Systems, Palma de Mallorca, Spain. However, external submissions are also welcome.
We are seeking submissions including (but not limited to) the following topics. Other submissions involving AI and the social sciences will also be considered.
- Blame attribution to machines;
- Causal Inference and machine learning;
- The risks and benefits of Applications of AI;
- AI and privacy;
- Bias in AI;
- Human–machine trust in AI systems;
- Citizen perceptions of AI and its impact;
- Explainable Artificial Intelligence (XAI);
- Evaluation models for Explainable Artificial Intelligence (XAI);
- Technical research into the representation, acquisition, and use of ethical knowledge by AI systems;
- Technical research into solutions for AI, such as bias, fairness, explainability, accountability, responsibility, risk;
- ChatGPT in Social Science Research.
Dr. Carlos Fernandez-Basso
Dr. Jesica Gómez Sánchez
Prof. Dr. David Lagnado
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Social Sciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- explainable AI
- social science
- human–machine trust
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