Project/Area Number |
20K11936
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 61030:Intelligent informatics-related
|
Research Institution | Kyoto University |
Principal Investigator |
Rafik Hadfi 京都大学, 情報学研究科, 特定助教 (30867495)
|
Co-Investigator(Kenkyū-buntansha) |
伊藤 孝行 名古屋工業大学, 工学(系)研究科(研究院), 教授 (50333555)
|
Project Period (FY) |
2020-04-01 – 2024-03-31
|
Project Status |
Granted (Fiscal Year 2022)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2022: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2020: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
Keywords | Agents / Conversational AI / Interaction / Deliberation / NLP / Interdependence / Online Discussion / Decision-making / Online Debates / Agent Deliberation / Predictive Deliberation / Conversational Agents / Augmented Democracy / Mutual Information / Natural Language / Group Interaction / Similarity Metrics / Collaborative Editing / Time Series Analysis / Automatic Deliberation / Entropy Methods / Artificial Agent / Information Theory / Artificial Intelligence |
Outline of Research at the Start |
In this project, we propose to study the interactions between humans and artificial agents that maximize collective intelligence. Understanding the dynamics behind symbiotic interactions in online discussions is a viable way to foster intelligent deliberation and build smarter deliberative agents.
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Outline of Annual Research Achievements |
The research resulted in the discovery and evaluation of various patterns of interaction in group discussions involving humans and conversational agents. The patterns where analyzed using a combination of techniques relying on time series analysis, information theory, natural language processing, and natural language generation. The results lead to an enhanced interpretation of the links between online debates and the underlying social dynamic. Moreover, the results helped in improving the implementation of artificial agents that interact with humans in various domains, including linguistic (conversational) and economic (negotiation) ones. These results come as an extension of the findings reported previously. The core findings were presented and published in various national and international conferences, workshops, and tutorials (AAMAS, PRICAI, KICSS, IEEE ICA, etc.). The key achievement of the research is laying out the foundation of platforms that allow humans to work effectively while interacting with conversational agents. This published form of "Augmented Democratic Deliberation" (AAMAS 2022) sets the future of online augmented democracies and addresses in a principled way key questions such as ethics, autonomy, and fairness. These notions will be investigated by the PI in other related research projects that exploit the present findings.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The developed framework was validated both theoretically and technically in various settings that involve humans and AI. The research has clarified most of the questions that were initially posed. Currently, the most recent results and extensions of the project are under review in journals and are expected to be published.
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Strategy for Future Research Activity |
The plan is to finalize the publication of the most recent results applied to real-world settings (political debates). Such results are currently under review in journals. Overall, the results of the project helped refine the design and implementation of deliberative metrics that 1) enhance our understanding on online discourse, debates, and dynamics, and 2) improve the design principles of conversational agents. These points are crucial to current AI research and in investigating issues regarding safety, ethics, and respect of human agency.
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