Speaker
Description
This study explores the integration of artificial intelligence (AI) into multi-stakeholder negotiations within the context of sustainable critical metals and minerals development. Through the development and testing of the "AI Stakeholder Negotiation Platform," a web-based simulation game, the research examines AI's capacity to facilitate consensus-building, balance trade-offs, and address conflicting interests among industry, government, and community stakeholders. The study employs a case study methodology, including gameplay observations, qualitative interviews, and thematic analysis of participants’ reflections. Findings reveal AI’s potential to enhance negotiation processes, foster collaboration, and promote sustainable decision-making. The research also highlights ethical considerations, such as transparency and cultural adaptability, underscoring the need for further exploration into AI's role in mediating real-world stakeholder conflicts.
| Keywords | Artificial Intelligence (AI); Multi-Stakeholder Negotiations; Sustainable Development |
|---|---|
| Best Congress Paper Award | Yes |
