About this Research Topic
The field of hybrid human–artificial intelligence (HHAI) aims to develop systems of AI that assists humans and vice versa. HHAI emphasizes 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 area of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions.
To achieve these goals, there is a need for collaboration across such areas as AI, computer science, human–computer interaction, cognitive and social sciences, philosophy and ethics, and complex systems. This Research Topic offers a space for this collaboration, providing the opportunity to address the current challenges in hybrid human–AI systems. The Research Topic presents a focus on the study of AI systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.
This Research Topic welcomes submissions of both long and short papers relevant to the future of hybrid human–artificial intelligence, including research on the various challenges of hybrid intelligence. Topics of interest include, but are not limited to:
- 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 modeling and personalization
- 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
Extended versions of work presented at the Hybrid Human–AI (HHAI) conference in 2022 and 2023 are also welcome.
To achieve these goals, there is a need for collaboration across such areas as AI, computer science, human–computer interaction, cognitive and social sciences, philosophy and ethics, and complex systems. This Research Topic offers a space for this collaboration, providing the opportunity to address the current challenges in hybrid human–AI systems. The Research Topic presents a focus on the study of AI systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.
This Research Topic welcomes submissions of both long and short papers relevant to the future of hybrid human–artificial intelligence, including research on the various challenges of hybrid intelligence. Topics of interest include, but are not limited to:
- 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 modeling and personalization
- 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
Extended versions of work presented at the Hybrid Human–AI (HHAI) conference in 2022 and 2023 are also welcome.
Keywords: hybrid intelligence, human-centered AI, HCI, collaborative systems, human–computer interaction
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
