Demo Session 6: Artificial Intelligence in Social Sciences

14:30 -16:00 (Johannesburg timetable) | In-person Session

Artificial intelligence (AI) in social sciences is becoming more popular, but there is still a lack of consensus on how to approach it. AI and big data techniques are widely applied in several major research areas and various social science fields. However, the anticipated overlap between the Computational Social Sciences specialization and the Social Sciences & AI specialization has not yet materialized. A theoretical framework for risk, housing, and health issues called DRVS, which takes a comprehensive approach to community and environmental health, is modeled using an artificial neural network. Social sciences must look for new theoretical and methodological frameworks to approach AI and ‘artificial sociality’ because research on AI-based technologies thrives primarily outside traditional disciplinary borders. Overall, AI has the potential to contribute to social sciences, but there is still a need for more research and discussion on how to approach it. The demo session aims to discuss theoretical frameworks in which AI can boost the quality of research in the social sciences.