How Relational Context Matters for Human-AI Cooperation Within Organizations

Oxford University Press eBooks, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Abstract Most of what is known about effective cooperation within organizations based on interactions between human agents but however, as AI systems increasingly assume roles once exclusive to humans, it becomes crucial reevaluate these dynamics. Building a relational norms model cooperation, this article argues that will be important consider the context which cooperative behavior expected occur humans and AI. This can defined by type relationship (e.g., teammates, boss-employee) set functions hierarchy, transaction) should governed by. suggests also true for Using framework, proposes human-AI coordination problems might arise because employees (a) feel ideal apply less relationships with compared those (b) are uncertain relationships, (c) perceive different principles than human-human relationships. The then presents empirical data (N = 340 employed American participants) supports three claims. It shows participants seem use similar expect relations norms. Furthermore, tailored their normative expectations felt hierarchical in relations. concludes outlining ethical implications presented findings highlighting possible next steps framework enable flourish.

Язык: Английский

The Evolution of Artificial Intelligence in Supply Chain Due Diligence: A Systematic Literature Review and Framework Development

Опубликована: Янв. 1, 2025

Язык: Английский