arXiv AI

Do we have the knowledge we need? Rethinking human-AI decision-making in corporations

arXiv:2606. 15575v1 Announce Type: new Abstract: Organizational knowledge is fragmented across a variety of software systems, tacit expertise, and manual documents that have traditionally been designed for human consumption.

arXiv AI
Aug 11

The Scaling Paradox in Human-AI Collaboration

arXiv:2608. 00818v2 Announce Type: replace Abstract: The discovery of scaling laws has highlighted the extraordinary potential of AI systems with a striking empirical pattern: as AI systems scale, their capabilities tend to improve predictably.

By Anyan Qi, Mengxin Wang
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