计算机科学
机器人
软件部署
人机交互
人机交互
数据科学
管理科学
人工智能
知识管理
工程伦理学
工程类
软件工程
作者
Daniel Hernández García,Marta Romeo,Christian Dondrup,Nancie Gunson,Angus Addlesee,Weronika Sieińska,Oliver Lemon,Alessandro Suglia,Matthew P. Aylett
标识
DOI:10.1145/3610978.3638152
摘要
The Human - Large Language Model Interaction workshop aims at bringing together researchers and industry experts across all disciplines in the fields of Human-Robot Interaction and Artificial Intelligence for an interactive and interdisciplinary discussion around the enormous opportunities and challenges that emerge from integrating Large Language Models in the interactive, conversational and reasoning abilities of robots. We will discuss the impact that these models will increasingly have on the way that humans and robots interact by focusing on the limitations, challenges, risks and opportunities that such models represent and how can they best be addressed by the HRI community. The workshop aims to provide an important venue to encourage debate around issues concerning the deployment of Large Language Models empowered solutions for human-robot interaction. This will be an opportunity to share and discuss ideas, worries, strategies, insights and findings around the application of Large Language Models in interaction scenarios. We hope these discussions will help to inform and guide the community towards the design, development and implementation of safe, ethical, and responsible 'new breed' of social robots.
科研通智能强力驱动
Strongly Powered by AbleSci AI