This seminar offers a collaborative and research-focused exploration of how Artificial Intelligence (AI) can be effectively employed to address challenges within the circular economy. Students will actively contribute by conducting their own research and presenting their findings.
| Type | Seminar |
| Term | WS 2024 |
| Mentor(s) |
René Reiners |
| Assistant(s) |
Starting with systematic approaches such as the R-strategies and life cycle phases, participants will identify AI applications and methodologies relevant to these frameworks.
Key focus areas include:
– Implementations in industry: Students will investigate current industrial applications and initiatives by startups in the field of circular economy.
– Best Practices: Participants will examine successful cases, underlying technologies, frameworks, and AI methods utilized.
– State of the Art: Conducting a literature review to understand the current advancements and trends will be a collaborative effort.
– Additionally, the seminar will delve into the generation of sustainability reports using Generative AI (GenAI), which are mandated by existing laws and EU norms.
Topics covered can include but are not limited to:
– Overview of relevant laws and norms, and their interrelationships.
– Necessary data foundations for training and fine-tuning large language models (LLMs), and the potential integration of other AI techniques like machine learning.
– Incorporation of external data sources to enhance analysis outcomes.
– Methods for the qualitative assessment of generated sustainability reports.
Students will engage in individual and group research projects, contributing to discussions and presenting their insights. This seminar is designed to provide hands-on experience and knowledge valuable for developing future services at the intersection of AI and sustainability, preparing students to contribute to this evolving field.