Hybrid Intelligence for Digital Humanities

Autor:	de Boer, Victor, Stork, Lise
Rok vydání:	2024
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	In this paper, we explore the synergies between Digital Humanities (DH) as a discipline and Hybrid Intelligence (HI) as a research paradigm. In DH research, the use of digital methods and specifically that of Artificial Intelligence is subject to a set of requirements and constraints. We argue that these are well-supported by the capabilities and goals of HI. Our contribution includes the identification of five such DH requirements: Successful AI systems need to be able to 1) collaborate with the (human) scholar; 2) support data criticism; 3) support tool criticism; 4) be aware of and cater to various perspectives and 5) support distant and close reading. We take the CARE principles of Hybrid Intelligence (collaborative, adaptive, responsible and explainable) as theoretical framework and map these to the DH requirements. In this mapping, we include example research projects. We finally address how insights from DH can be applied to HI and discuss open challenges for the combination of the two disciplines. Comment: Preprint for paper accepted for HHAI2024 conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.15374 Zobrazit plný text záznamu View this record from Arxiv