Track Editors

Davide Grossi, University of Groningen, The Netherlands
Wendy Mackay, Inria, France
Frans Oliehoek, Delft University of Technology, The Netherlands (Contact for Enquiries)
Ana Paiva, Inesc-ID & Instituto Superior Técnico, Portugal
Maria Perez-Ortiz, University College London, United Kingdom
Stefan Schlobach, Vrije Universiteit Amsterdam, The Netherlands
Myrthe Tielman, Delft University of Technology, The Netherlands

Overview

We invited scholars to submit novel research focusing on the intersection of human and artificial intelligence to this special track, which aims to emphasize the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems. Contents of the special track are made available as articles are accepted. The papers in this JAIR Special Track will also include a selected subset of papers in extended form from the 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI), held in Amsterdam in June 2022.

Hybrid Human-Artificial Intelligence is the field focusing on the study of artificial intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. The field is driven by current developments in AI, but also requires fundamentally new approaches and solutions. Specifically, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others.

The goal of this track was to provide scholarly input and novel contributions on the topic of how intelligent machines could collaborate and interact with humans, building a new type of collective intelligence. The track also aimed to provide a forum in which research on the different applications of human-AI collaboration and interaction can be presented. We invited research on the different challenges in Hybrid Human-Artificial Intelligence, including but not limited to:

• Human-AI interaction and collaboration
• Adaptive human-AI co-learning and co-creation
• Learning, reasoning and/or planning with humans and machines in the loop
• User (including teammate or opponent) modelling and personalization
• Integration of learning and reasoning, i.e. symbolic & sub-symbolic AI
• Transparent, explainable and accountable AI
• Fair, ethical, responsible and trustworthy AI
• Meaningful human control over AI systems
• Societal values, law and politics in the design and use of human-AI interaction
• Multimodal machine perception of real world settings
• Social signal processing

Types of Submissions

The special track invited three types of submissions:

• Regular journal articles, aiming to advance the state of the art of HHAI.
• Viewpoints (short articles of up to 2000 words, dedicated to technical views and opinions on HHAI in which positions are substantiated by facts or principled arguments)
• Multi-author discussion articles (e.g. half a dozen authors discuss arguments around an issue concerning HHAI)

Regular journal articles present novel research. Novelty could be in i) the AI techniques developed and presented, ii) in the application of existing AI techniques to a novel domain of HHAI, iii) in a novel experimental comparison of different HHAI techniques (either through computational experiments or user studies), or iv) novel analyses, theories or models that expand the understanding of HHAI, among others. Viewpoint and multi-author discussion papers are dedicated to technical and critical views and opinions on the field of human-AI collaboration and interaction and should present a novel viewpoint on a problem, or on a novel solution to a problem. They do not need to contain primary research data, but are substantiated by facts or principled arguments to provide new insights or opinions to a debate.

Status

The track is closed for new submissions. Accepted submissions will be added to this page on publication.