Hybrid Attention in Organizations - How Artificial Intelligence Augments Learning, Decision-Making, and Human Intelligence
Abstract
This book places human, artificial, and organizational attention at the center of understanding how AI reshapes learning and decision‑making in organizations. Integrating insights from an undergraduate information systems seminar, it draws on three systematic literature reviews and an integrative synthesis to develope a multi‑level account of AI as an attentional actor that filters, highlights, and structures information. Situating its analysis across information systems, organizational learning, knowledge management, and human‑centered AI, the book synthesizes insights from more than 90 studies to show how attention mechanisms have become organizational capabilities influencing knowledge processes and sensemaking. The book argues that AI’s value lies not in replacing human judgment but in augmenting human attention, with effective decisions emerging from the interplay between artificial signal detection and human contextual reasoning. It emphasizes that this potential depends on transparent, human‑centered design and governance to prevent bias, overreliance, or loss of agency. By conceptualizing hybrid human–AI attention as an organizational capability, the book offers a unifying lens that links AI design, cognition, and decision processes, challenging automation‑centric narratives and highlighting the need for deliberate attentional governance in responsible AI adoption. The book addresses researchers and practitioners seeking insights into AI and attention while also supporting educators and students with clear guidance on conducting rigorous, structured literature analyses.
Keywords
Artificial Intelligence in Organizations; Organizational Learning; Decision-Making Systems; Human-AI Collaboration; Intelligence Augmentation; Knowledge Management Systems; Human-Centered Artificial Intelligence; Attention-Based View of the Firm; Structured Literature Analysis