Date: 13-17 June 2022
Venue: Vrije Universiteit Amsterdam
Language: English
Hybrid Human Artificial Intelligence” (HHAI2022) will be 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.
HHAI2022 is organised by the Dutch Hybrid Intelligence Center and the European HumaneAI Network, as the first conference in what the organisers intend to become a series of conferences about Hybrid Human Artificial Intelligence.
HHAI2022 will be an in-person event at the Vrije Universiteit Amsterdam (NL) and will be organized as a single-track conference.
HHAI2022 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, collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others is needed. In this first international conference, the orgnanisers 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.
Call for Research Papers
The organisers welcome research about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models and more specifically 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
- Technical and critical perspectives on human-AI interaction
- Meaningful human control over AI systems
- Values and politics in the design and use of human-AI interaction
- Law and policy challenges around human-centered AI systems
- Societal awareness of AI
- Multimodal machine perception of real world settings
- Social signal processing