Problem
Research questions and friction points this paper is trying to address.
AI-native workplace
co-worker qualities
knowledge work
What Makes a Great Co-Worker in an AI-Native Workplace?
🤖 AI Summary
研究通过22次访谈和1534名知识工作者的调查，提出了适用于人与AI同事的75种品质框架BACI，并探讨了人们对AI角色的不同期望。
📝 Abstract
As knowledge work grows interdependent between humans and AI, we ask what makes a great co-worker in an AI-native workplace. To answer this, we conducted 22 interviews and a large-scale mixed-methods survey of 1,534 knowledge workers at a multinational technology company. We contribute BACI, a framework of 75 co-worker qualities that apply to humans and AI, spanning Benevolence, Ability, Cooperativeness, and Integrity. Comparing priorities for humans and AI identified 11 co-worker archetypes and revealed disagreement over whether AI should have warmth, take initiative, or own outcomes. We also show how priorities for these archetypes varied with workers' individual characteristics. Lastly, we contribute a taxonomy of AI work etiquette capturing the obligations co-workers expect of one another when preparing, sharing, and taking responsibility for AI-supported work. Based on these findings, we derive implications to inform worker-centric AI and workplace design.
Innovation
Methods, ideas, or system contributions that make the work stand out.
BACI framework
co-worker archetypes
AI work etiquette
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