Towards Human-AI Mutual Learning: A New Research Paradigm
This work proposes a foundational shift in how human-AI collaboration is studied, potentially impacting all of ML/AI, but it is conceptual and incremental in nature.
The paper introduces a new research paradigm called 'human-AI mutual learning' to study human-AI collaboration, focusing on how humans and AI agents preserve, exchange, and improve knowledge together, but it does not present specific results or concrete numbers.
This paper describes a new research paradigm for studying human-AI collaboration, named "human-AI mutual learning", defined as the process where humans and AI agents preserve, exchange, and improve knowledge during human-AI collaboration. We describe relevant methodologies, motivations, domain examples, benefits, challenges, and future research agenda under this paradigm.