The first International Conference on
Hybrid Human-Artificial Intelligence
13-17 June 2022, Amsterdam
Hybrid Human-Artificial Intelligence (HHAI) is the first international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.
We welcome research on the different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive.
- Human-AI interaction and collaboration
- Adaptive human-AI co-learning and co-creation
- Learning, reasoning and planning with humans and machines in the loop
- User modelling and personalisation
- Integration of learning and reasoning
- Transparent, explainable and accountable AI
- Fair, ethical, responsible and trustworthy AI
- Societal awareness of AI
- Multimodal machine perception of real world settings
- Social signal processing
We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models.
In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary perspectives. To do this, we will accept three different types of papers:
- Full papers present original, impactful work (12 pages excluding references)
- Working papers present work in progress or new and visionary ideas (8 pages excluding. references)
- Extended abstracts present existing, pre-published work (4 pages excluding references)
Accepted full papers will be published as the Proceedings of the First International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press as Open Access papers. Abstracts of working papers and existing work can be included in these proceedings, unless the authors request the abstracts to remain unpublished.
This will be an in-person, single-track conference, held in Amsterdam, the Netherlands. Pending local and global Covid measures at the time of the conference, we will provide options to attend virtually. The conference will be hosted at the campus of the Vrije Universiteit Amsterdam.
Reviewing process & submission guidelines
Reviewing will be single anonymized, as we are welcoming existing work and references to previous work from the submitting authors. Submissions of full and working papers should be original work and ideas without substantial overlap with pre-published papers. Extended abstracts can present previously published work. On acceptance, at least 1 author should attend the conference.
All submissions should adhere to IOS formatting guidelines. A template can be found here. Papers should be written in English. Work should be submitted in .pdf format via EasyChair: https://easychair.org/conferences/?conf=hhai2022
Abstract submission: February 25th 2022
Paper submission: March 4th 2022
Author notification: April 18 2022
Camera-ready submission: May 2nd 2022
Main conference: 13-17 June 2022
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).
Keep an eye out on our website for more information: https://www.hybrid-intelligence-centre.nl/HHAI-2022
General chair: Stefan Schlobach (VU)
Program chairs: Myrthe Tielman (TUDelft) & Maria Perez-Ortiz (UCL)
For questions, you can reach us at: firstname.lastname@example.org