Human-AI Interaction in the Age of Large Language Models

Authors

  • Diyi Yang Stanford University

DOI:

https://doi.org/10.1609/aaaiss.v3i1.31183

Keywords:

Human-Computer Interaction

Abstract

Large language models (LLMs) have revolutionized the way humans interact with AI systems, transforming a wide range of fields and disciplines. In this talk, I share two distinct approaches to empowering human-AI interaction using LLMs. The first one explores how LLMstransform computational social science, and how human-AI collaboration can reduce costs and improve the efficiency of social science research. The second part looks at social skill learning via LLMs by empowering therapists and learners with LLM-empowered feedback and deliberative practices. These two works demonstrate how human-AI collaboration via LLMs can empower individuals and foster positive change. We conclude by discussing how LLMs enable collaborative intelligence by redefining the interactions between humans and AI systems.

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Published

2024-05-20

Issue

Section

Bi-directionality in Human-AI Collaborative Systems