As part of the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), we are excited to announce a dedicated track seeking high-quality contributions under the theme AI for Socio-Ecological Welfare. This special session will be part of the ICCBR workshops and invites submissions exploring innovative AI methodologies and applications that also contribute to solve global and regional social and ecological challenges, not necessarily related to Case-Based Reasoning.
In the wake of urgent socio-ecological issues, AI has the potential to drive significant positive change. This track focuses on harnessing AI's power to foster sustainable solutions for ecological conservation, natural resources management, society welfare, and the intricate interplay among them. We encourage submissions that showcase AI's capabilities to learn from past instances and provide actionable insights for current and future socio-ecological dilemmas.
Research contributions submitted to the AI-track will be related to areas that include, but are not limited to, the following:
- AI-Driven Innovations in Healthcare
- AI in Mental Health and Digital Therapeutics
- Eco-friendly innovation and sustainable development using AI
- AI in resource management and conservation
- Socially responsible AI solutions for society challenges
- Integration of traditional ecological knowledge with AI
- AI-driven policy-making for sustainable futures
- Ethical considerations in the deployment of AI for socio-ecological welfare
- Ethical and Access Considerations in AI for Health
