Exploring Interpretability in Open Government Data with ChatGPT
Raissa Barcellos (Universidade do Estado do Rio de Janeiro)
Flavia Bernardini (Universidade Federal Fluminense)
José Viterbo (Universidade Federal Fluminense)
A.M.G. Zuiderwijk-van Eijk (TU Delft - Information and Communication Technology)
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Abstract
The global initiative supporting open government data (OGD) has witnessed significant strides in the last decade. This study delves into the prospective integration of Artificial Intelligence (AI) with Hippolyta, a framework meticulously crafted to amplify the interpretability of government data. The aim is to scrutinize the viability of this integration, conducting a technical investigation in the realms of open government data and artificial intelligence. In contributing to the expansive field of OGD, this research focuses on elucidating the interpretability of data originating from governmental sources. Through an exploration of the technical feasibility surrounding the fusion of AI with Hippolyta, we aim to pave the path for advancements, fostering heightened interpretability and overarching enhancements in the understanding of government data.