The UNESCO Recommendations for Open Science define it as an inclusive framework that integrates movements and practices aimed at making multilingual scientific knowledge openly accessible, reusable, and collaborative for the benefit of science and society. This approach emphasizes transparency, collaboration, … Continued
Objectivity is widely regarded as crucial for scientific practice, yet it remains poorly understood in scientific methodology and, as a result, has limited impact on research practices. Building on recent developments in the philosophy of science, we have created a … Continued
We articulate fundamental mismatches between technical methods for machine unlearning in Generative AI, and documented aspirations for broader impact that these methods could have for law and policy. These aspirations are both numerous and varied, motivated by issues that pertain … Continued
How do language models use information provided as context when generating a response? Can we infer whether a particular generated statement is actually grounded in the context, a misinterpretation, or fabricated? To help answer these questions, we introduce the problem … Continued
This article delves deeper into the causal perspective of Necessary Condition Analysis (NCA). In contrast to traditional probabilistic sufficiency approaches in quantitative social science research about what will happen on average in a group of cases, NCA is interested in … Continued
How do language models use information provided as context when generating a response? Can we infer whether a particular generated statement is actually grounded in the context, a misinterpretation, or fabricated? To help answer these questions, we introduce the problem … Continued
E-learning environments are increasingly harnessing large language models (LLMs) like GPT-3.5 and GPT-4 for tailored educational support. This study introduces an approach that integrates dynamic knowledge graphs with LLMs to offer nuanced student assistance. By evaluating past and ongoing student … Continued
The growing integration of AI tools in communication promises enhanced efficiency and productivity. However, concerns about the erosion of trust and authenticity have fueled debates over the disclosure and regulation ofAI-mediated communication. It remains unclear a) how AI mediation influences … Continued
Qualitative analysis is critical to understanding human datasets in many social science disciplines. Open coding is an inductive qualitative process that identifies and interprets “open codes” from datasets. Yet, meeting methodological expectations (such as “as exhaustive as possible”) can be … Continued
The manual assessment and grading of student writing is a time-consuming yet critical task for teachers. Recent developments in generative AI, such as large language models, offer potential solutions to facilitate essay-scoring tasks for teachers. In our study, we evaluate … Continued