arXiv AI

Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems

arXiv:2606. 00807v1 Announce Type: new Abstract: Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents.

arXiv AI
Jul 24

Can an AI System Be Creative? A Critical Perspective from Art and Engineering

arXiv:2607. 20796v1 Announce Type: new Abstract: This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage and film director, writer, composer, and visual artist, and in philosophy.

By Ivan Magrin-Chagnolleau
arXiv AI
Aug 5

Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems

arXiv:2608. 03413v1 Announce Type: new Abstract: As artificial intelligence (AI) continues to evolve and mature, recent AI practices have moved beyond large language models (LLMs) and text or image generation tasks, increasingly integrating tools, agents, and harnesses to solve real business and industrial problems.

By Zuojun Max Shen, Yuan Qu, Pujun Zhang, Anbang Liu, Yunhao Liang
arXiv AI
Jun 11

IntElicit: Eliciting and Assessing Contextualized Creativity via Dialogue Policy Optimization

arXiv:2606. 12086v1 Announce Type: new Abstract: Contextualized assessment offers high ecological validity for evaluating creativity but introduces a critical challenge: observed performance may be confounded with cognitive proficiency (domain knowledge) and agency (willingness to engage).

By Mingjia Li, Jin Wu, Hong Qian, Wenhao Huang, Yiyang Huang, Yiwen Zhang, Chanjin Zheng, Xiangfeng Wang, Aimin Zhou, Jiajun Guo