Human-AI interaction: An emerging interdisciplinary domain for enabling human-centered AI
Wei Xu, Liezhong Ge, Zaifeng Gao

TL;DR
This paper discusses the emerging interdisciplinary field of Human-AI Interaction, emphasizing its importance for developing human-centered AI systems that are safe, effective, and aligned with human needs.
Contribution
It systematically introduces the Human-AI Interaction domain, defining its scope, objectives, and methodology, and proposes a future research agenda for advancing human-centered AI.
Findings
Identifies key challenges in AI development and human-AI interaction.
Summarizes main research areas and applications of HAII.
Provides strategic recommendations for future HCAI and HAII implementation.
Abstract
The new characteristics of AI technology have brought new challenges to the research and development of AI systems. AI technology has benefited humans, but if improperly developed, it will harm humans. At present, there is no systematic interdisciplinary approach to effectively deal with these new challenges. This paper analyzes the new challenges faced by AI systems and further elaborates the "Human-Centered AI" (HCAI) approach we proposed in 2019. In order to enable the implementation of the HCAI approach, we systematically propose an emerging interdisciplinary domain of "Human-AI Interaction" (HAII), and define the objective, methodology, and scope. Based on literature review and analyses, this paper summarizes the main areas of the HAII research and application as well as puts forward the future research agenda for HAII. Finally, the paper provides strategic recommendations for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEthics and Social Impacts of AI · Artificial Intelligence in Healthcare and Education · Computational and Text Analysis Methods
