Lynne Stahl, PresenterMichelle Colquitt, Recorder At a time when academic libraries face pressure to compete for limited funding and status in both the public and institutional eyes, one thing every discipline has in common is metadata. It is through the information infrastructures within academia, which are often underexamined by non-librarians, where inequities exist: troublesome subject headings and taxonomic practices, dubious data privacy practices, and the ongoing insinuation and commoditization of generative artificial intelligence (AI). Library workers are uniquely positioned to call out the political aspects of inequitable information infrastructures. Many librarians in the classroom attempt to address information inequality but are limited by time constraints and competing priorities associated with one-shot information literacy sessions. Drawing on examples from the humanities, social sciences, and natural sciences, this talk illuminates how collaborations across public services, technical services, and departmental faculty can promote a deeper understanding of the component pieces of research and scholarship while combating structural biases.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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