[PlanetKR] CfP: "AI-in-the-loop" - Reconfiguring HCI for AI development | HCI International 2022, 26 June-1 July 2022, virtual

Florian Schneider florian.schneider-1 at uni-hamburg.de
Mon Oct 11 10:37:56 UTC 2021

Dear colleagues,

for the 24th International Conference on Human-Computer Interaction
<https://2022.hci.international/index.html> on 26 June - 1 July 2022
(HCII 2022, virtual) we invite you to submit your contributions to our panel

"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
https://humansintheloop.org/) 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
(https://www.dwise.uni-hamburg.de/en.html). 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:*
Gertraud Koch, Institute of Anthropological Studies in Culture and
History, University of Hamburg
Chris Biemann, Language Technology Group, University of Hamburg
with collaboration of: Dr. Teresa Stumpf, Alejandra Tijerina García,
Isabel Eiser, Tim Fischer, Florian Schneider

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