The HHAI 2023 Doctoral Consortium (DC) will take place virtually as part of the 2nd International Conference on Hybrid Human-Artificial Intelligence in June 2023, Munich. This forum will provide early as well as middle/late stage PhD students in the field of Hybrid Intelligence focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.
The DC provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Hybrid Intelligence. The doctoral consortium will also provide opportunities to network and build collaborations with other members of the HHAI community. We welcome submissions across research HHAI-related domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others (see “Topics of interest”).
The event is intended for early as well as middle/late stage PhD candidates, and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer reviewed by the conference’s programme committee. Accepted papers will be further shepherded by an assigned mentor, typically a senior researcher in the field. If accepted, students will have to register and attend the event, which will include a range of interactive activities. Details for the submission are found below under “Submission Details”.
- Submission Deadline: March 15th, 2023
- Reviews Released: April 15th, 2023
- Camera-ready Papers Due: May 15th, 2023
- Doctoral Consortium: June 27, 2023
All deadlines are 23:59 AoE (anywhere on Earth).
Topics of Interest
We invite research on 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
- Representations learning for Communicative or Collaborative AI
- Symbolic and narrative-based representations for human-centric AI
- Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI
Students should submit an 8-12 page description of their PhD research proposal. Papers should be written in English and adhere to IOS formatting guidelines (https://www.frontiersin.org/guidelines/author-guidelines). The paper limit of 12 pages excluding references and (online) appendices.
The papers should have a single author (the PhD candidate). Supervisors, other involved persons and funding agencies should be acknowledged in an Acknowledgements section.
All proposals have to be submitted electronically via the EasyChair conference submission system. https://easychair.org/my/conference?conf=hhai2023
Submissions should contain the following elements:
- Context and Motivation: What is the societal and research context of the research?
- Problem statement: What is the general problem the research addresses?
- Related work: How is the research positioned in the state-of-the-art?
- Research questions/challenges: what are the research questions that the research answers?
- Method/approach and evaluation: how is each of the research questions answered? How are results evaluated?
- Preliminary results (if available).
- Discussion and Future work: What are intermediary conclusions, what are planned next steps?
Accepted symposium papers will be published in the main conference proceedings of the Second International Conference on Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Authors will have the opportunity to opt-out from being included in these proceedings.
Amy Loutfi, Örebro University
Victor de Boer, Vrije Universiteit Amsterdam