The current achievement involves surveying the two main concepts of the project (agency and autonomy) and developing algorithms that use information-theoretic metrics, precisely mutual information, to define autonomy and agency. The resulting algorithms were tested on automata that simulate systems of interacting players (in the game theoretic sense). The findings from these tests are now being prepared for submission to a journal. The second achievement is the presentation of the theoretical model of the research and its implications for the study of agency and autonomy from an enactive perspective. This theoretical model results from the surveys of the concepts in cognitive sciences, particularly in 4E cognition. The last finding was presented at the CHAIN Philosophy Workshop "Frontiers of Enactivism in East Asia" at Hokkaido University.
AI-Mediated E-Contact for Reducing Bias and Prejudice in Intergroup Interactions
代表者
SAHAB Sofia
分担者
伊藤孝行、Jawad Haqbeen
研究概要
In today's world, communication often occurs within like-minded groups, perpetuating misunderstandings, prejudice, and conflict. While traditional social psychology theories offer insights into bridging these divides, their application is limited in the digital age. Our research aims to fill this gap by integrating AI into online communication to enhance collaboration, consensus-making, and reduce social tensions. We will approach this in three phases: first, we develop a theoretical framework by translating social psychology theories into AI principles designed to reduce intergroup prejudice and anxiety while promoting teamwork; second, we integrate these principles into AI systems to foster positive interactions; and third, we conduct real-world experiments to assess the AI's effectiveness in reducing tensions and improving well-being. The research is original in its novel application of AI to enhance intergroup relations and set new standards for AI-driven social cohesion. Expected outcomes include advancing the understanding of AI for real-world issues and achieving practical impacts like enhancing global harmony, reducing prejudice and biases, and supporting peacebuilding.
From designing adaptive facilitation threshold to summarization timeline based on IBIS: Democratizing discussion in online education conversation
代表者
Jawad Haqbeen
研究概要
In this study, 1) I will develop facilitation messages database to enhance automated agent posted facilitation messages. 2) Then, I plan to propose an adaptive facilitation approach to enhance conversational agent facilitation threshold behavior. 3) Third, I will develop a discussion summarizations timeline based on Issue-based Information System (IBIS) to facilitated more informed engagement. 4) Finally, I will establish an analytical model using S-O-R framework to verify proposed Tasks (T1-T3) while conducting social experiments.