CfP for the 24th International Conference on Human-Computer Interaction on 26 June - 1 July 2022 (HCII 2022, virtual). Deadline: 31.10.2021.



"AI-in-the-loop" - Reconfiguring HCI for AI development

An important paradigm in the development of interactive AI systems is “humans-in-the-loop” as trainers in machine learning (see or as evaluators of results or predictions in unsupervised machine learning, primarily optimizing the ML model. Even though dominant, this paradigm however does not adequately represent all approaches made in AI. What is not yet prominent in the debate are alternative HCI paradigms in AI development, e.g. the option to put AI in the loop for primarily supporting human analyses, which might still include mechanisms to enhancing AI performance; this we are currently exploring in the D-WISE project ( In our project, qualitative discourse analyses, in the tradition of the sociology of knowledge, get support by automated analyses of multimodal materials for “filtering” (e.g. theoretical sampling, annotating, development of categories, simultaneous data expansion) relevant materials: AI is in the loop of human analysis and supports human decision making. At the same time, in this mode of human-computer interaction, we are not only motivated to improve human analyses; we aim to constantly improve the representations in the AI systems in the loop of our system, creating a win-win situation for both human understanding and training of the AI system.

“Humans-in-the-loop” and “AI-in-the-loop” are paradigms of human and computer interaction with rather contradicting ideas of how AI and human analyses relate to each other. Thus far, AI-in-the-loop is mostly referred to as an idea but rarely developed as a paradigm in AI research. This panel is interested in bringing together approaches that set AI-in-the-loop of human analytics, rather than operating the other way round. We wish to learn about different ways of putting AI-in-the-loop for human analyses and the different modes of how human-computer interaction is arranged.

Accepted submissions will be included in the conference proceedings to be published by Springer in the Lecture Notes in Computer Science (LNCS) or Lecture Notes in Artificial Intelligence (LNAI) series.

Important dates:
Submission of Abstracts (at least 500 words), 31 Oct 2021
Submission of Full Papers (12 pages but no less than 10 and no more than 20 pages), 10 Dec 2021
Information on approved papers, 31 Dec 2021
Camera-ready version, 4 Feb 2022

Convenors of the panel:
Prof. Dr. Gertraud Koch, Institute of Anthropological Studies in Culture and History, University of Hamburg
Prof. Dr. Chris Biemann, Language Technology Group, University of Hamburg
with collaboration of: Dr. Teresa Stumpf, Alejandra Tijerina García, Isabel Eiser, Tim Fischer, Florian Schneider