Paper Type
Short
Paper Number
PACIS2026-1278
Description
This research investigates the emergence of "Joint Agency" in corporate governance, where generative AI (GenAI) and human leaders collaborate to enhance Strategic Decision Quality (SDQ). The study aims to explore how human-machine shared intentionality navigates organizational complexity. It specifically examines GenAI agency as a mediator between human skill development and algorithmic trust, highlighting that the effectiveness of AI in strategic core functions is contingent upon the human-AI interface. The findings emphasize that while AI can surpass human proficiency in complex domains, its role has shifted from a peripheral tool to a central architect in strategy development. By fostering collaborative intelligence, organizations can leverage GenAI’s computational reach to improve decision outcomes. This work provides critical theoretical and practical insights for firms integrating AI into high-level governance frameworks.
Recommended Citation
Liu, Claude Chien-Hung and Chen, Chris Sheng-chi, "GenAI Agency: Mediating Skill Development and Algorithmic Trust" (2026). PACIS 2026 Proceedings. 2.
https://aisel.aisnet.org/pacis2026/ai_ethic/ai_ethic/2
GenAI Agency: Mediating Skill Development and Algorithmic Trust
This research investigates the emergence of "Joint Agency" in corporate governance, where generative AI (GenAI) and human leaders collaborate to enhance Strategic Decision Quality (SDQ). The study aims to explore how human-machine shared intentionality navigates organizational complexity. It specifically examines GenAI agency as a mediator between human skill development and algorithmic trust, highlighting that the effectiveness of AI in strategic core functions is contingent upon the human-AI interface. The findings emphasize that while AI can surpass human proficiency in complex domains, its role has shifted from a peripheral tool to a central architect in strategy development. By fostering collaborative intelligence, organizations can leverage GenAI’s computational reach to improve decision outcomes. This work provides critical theoretical and practical insights for firms integrating AI into high-level governance frameworks.
Comments
03-EthicsSocietalImpact