Hybrid Intelligence for Digital Humanities

For deep and meaningful integration of AI tools in the Digital Humanities (DH) discipline, 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. In our position paper, which we presented at the HHAI2024 conference in Malmö, we argue that these are well-supported by the capabilities and goals of HI. Our paper 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.

In our paper, 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.

You can find the paper here: Victor de Boer and Lise Stork. “Hybrid Intelligence for Digital Humanities.” HHAI 2024: Hybrid Human AI Systems for the Social Good. pp. 94-104. Frontiers in Artificial Intelligence and Applications. Vol. 386. IOS Press. DOI: 10.3233/FAIA240186 

…and our presentation below:

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