TY - GEN
T1 - Hybrid Intelligence for Digital Humanities
AU - De Boer, Victor
AU - Stork, Lise
N1 - Publisher Copyright:
© 2024 The Authors.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Cultural Heritage
KW - Digital Humanities
KW - Hybrid Intelligence
UR - http://www.scopus.com/inward/record.url?scp=85198745260&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85198745260&partnerID=8YFLogxK
UR - https://ebooks.iospress.nl/volume/hhai-2024-hybrid-human-ai-systems-for-the-social-good-proceedings-of-the-third-international-conference-on-hybrid-human-artificial-intelligence
U2 - 10.3233/FAIA240186
DO - 10.3233/FAIA240186
M3 - Conference contribution
AN - SCOPUS:85198745260
T3 - Frontiers in Artificial Intelligence and Applications
SP - 94
EP - 104
BT - HHAI 2024: Hybrid Human AI Systems for the Social Good
A2 - Lorig, Fabian
A2 - Tucker, Jason
A2 - Lindstrom, Adam Dahlgren
A2 - Dignum, Frank
A2 - Murukannaiah, Pradeep
A2 - Theodorou, Andreas
A2 - Yolum, Pinar
PB - IOS Press BV
T2 - 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024
Y2 - 10 June 2024 through 14 June 2024
ER -