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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A look back at the HHAI2023 Doctoral Consortium

The next generation of Hybrid-Human-AI researchers are here! As part of the second International Conference on Hybrid Human-Artificial Intelligence that was held in June in Munich, German, myself and Amy Loutfi of Örebro University organized a doctoral consortium. We put out a Call for Papers asking for early to late stage PhD candidates on the topic of Hybrid Human-AI research to submit their research proposals. We received 10 submissions and after a smooth peer-reviewing process we were able to invite 8 participants to the workshop in Munich.

A really nice room for a really nice symposium

The workshop started with a great keynote by Wendy Mackay of Inria, Paris-Saclay, and the Université Paris-Saclay. Wendy is a great authority on Human-Computer Interaction and the relation of that field to Artificial Intelligence and she gave a great talk about the importance of being sensitive to both ends of the AI-HCI scale.

Wendy Mackay

Next, the participants presented their research (plans) in 20 minute presentations, with plenty time for questions and discussions. We were joined by multiple members of the community who provided interesting comments and discussion items after the talks. Each presenter was paired with another participant who would lead the discussion following the presentation. All in all my impression was that this set-up lead to a fruitful and nice atmosphere for in-depth discussions about the research.

The participants of the Doctoral Consortium (from left to right: Anastasiya Zakreuskaya, Johanna Wolff, Dhivyabharathi Ramasamy, Cosimo Palma, Regina Duarte, Victor de Boer, Wendy Mackay, Azade Farshad, Amir Homayounirad, and Nicole Orzan).

Below you find some pictures of the day. The entire programme, including (most of) the papers can be found on the HHAI conference web page. The papers are published by IOS press in the proceedings of the conference: Augmenting Human Intellect.

On behalf of Amy as well: Thank you Azade Farshad, Johanna Wolff, Regina Duarte, Amir Homayounirad, Anastasiya Zakreuskaya, Nicole Orzan, Dhivyabharathi Ramasamy, Cosimo Palma and Wendy Mackay for making the DC work. Thanks as well to the wonderful organization team of HHAI2023 to make everything run so smooth!

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