Trust and Reliance in Evolving Human-AI Workflows, at CHI 2024

Abstract

State-of-the-art AIs, including Large Language Models (LLMs) like GPT-4, now possess the capabilities once unique to humans, such as coding, idea generation, and planning. These advanced AIs are now integrated into a plethora of platforms and tools, including GitHub Copilot, Bing Chat, Bard, ChatGPT, and Advanced Data Analytics. In contrast to conventional, specialized AIs that typically offer singular solutions, these LLMs redefine human-AI dynamics. Instead of perceiving AIs merely as supportive tools, there's a growing trend where humans view them as collaborative counterparts. This shift leads to enhanced dialogues, negotiations, and task delegation between humans and AI. With these rapid advancements, the nature of human roles in the AI collaboration spectrum is evolving. While our previous workshops like CHI TRAIT 2022and TRAIT 2023 delved into the trust and reliance concerning traditional AIs, the pressing question now is: how should humans gauge trust and reliance with these emerging AI technologies? As these systems witness widespread adoption, there's also a need to assess their impact on human skill development. Does AI assistance amplify human skill progression, or does it inadvertently inhibit it? Considering the multifaceted challenges and solutions that revolve around human-AI interactions, we invite experts from diverse fields, including HCI, AI, ML, psychology, and social science. Our aim is to bridge communication gaps and facilitate rich collaborations across these domains. Formerly the workshop on Trust and Reliance in AI-Human Teams, this sequel workshop aims to revisit the topic of trust and reliance in in the evolving context of human-AI collaboration in the age of LLMs.