KadiAssistant: Privacy-by-Design AI for Research Data in Materials Science
Researchers have introduced KadiAssistant, a conversational AI agent designed for information retrieval within the Kadi4Mat research data ecosystem. The assistant prioritizes privacy by design, enabling efficient access, aggregation, and synthesis of heterogeneous, privacy-sensitive research data. It addresses challenges in interdisciplinary fields like materials science, where data from electrochemical measurements, materials characterization, physics-based simulations, and manufacturing parameters are distributed across disciplines, organizations, and individuals, each using different formats, vocabularies, and standards. The tool aims to streamline knowledge connection and access without requiring extensive domain or technical expertise.
Key facts
- KadiAssistant is a conversational AI agent for information retrieval.
- It is integrated into the Kadi4Mat research data ecosystem.
- The assistant is privacy-by-design.
- It enables efficient access, aggregation, and synthesis of heterogeneous research data.
- Targets interdisciplinary fields like materials science.
- Addresses challenges of data distributed across disciplines, organizations, and individuals.
- Battery research is given as an example of heterogeneous data types.
- The tool reduces the need for domain knowledge and technical expertise.
Entities
Institutions
- Kadi4Mat
- arXiv