PROJECT SUMMARY

Absract image with drawings of people grouped within a network diagram

The Use of Automated Knowledge in Organisations Project

Focus Areas: News & Media, Mobilities, Social Services, Health
Status: Active

Organisations are central to knowledge dissemination and value creation in society, functioning as complex rule systems that deploy knowledge to achieve specific goals. Historically, advances in ICT have enabled organisations to grow and improve efficiency, but their fundamental structure has remained largely unchanged.

Generative AI is a new general-purpose tool that can significantly lower the cost of productive interaction with knowledge by leveraging foundation models for rapid, flexible natural language access. As these models become more complex, their capabilities expand, potentially rivalling large organisations in productivity on some dimensions. This raises the question of whether AI systems will compete with or complement traditional organisations. 

This project investigates the impact of Generative AI on organisational structures and inter-organisational interactions, aiming to develop an AI theory of the firm. It seeks to understand and test how AI-driven systems can be integrated into organisational structures to create what might be termed “artificial organisational intelligence”.

It will investigate the adoption of decentralised AI within organisational contexts and the organisational capabilities required to make effective use of AI. By addressing the challenges of reliability, confidentiality, and contextual accuracy in AI systems, this project will contribute to the development of robust systems that are better suited for organisational use. This could have broad implications for how AI is deployed in various sectors, from business and government to community and environmental initiatives.

PROJECT OBJECTIVES

  • Develop a new theory of the firm relevant to the digital economy, including the role(s) of AI within this transformation.
  • Document, analyse, and compare the constitutive processes that organisations undertake in relation to automated technologies.
  • Produce evidence of how different approaches to AI governance within organisations influence the capabilities of organisations both individually and as networks of organisations.
  • Compare the performance of standard AI tool usage with customized modifications, exploring how these modifications contribute to organizational capabilities, including efficiency, accuracy, and social innovation.

RESEARCHERS

Ellie Rennie

Prof Ellie Rennie

Project Co-Leader and Associate Investigator,
RMIT University

Learn more

ADM+S Chief Investigator Jason Potts

Prof Jason Potts

Project Co-Leader and Chief Investigator,
RMIT University

Learn more

Mark Andrejevic

Prof Mark Andrejevic

Chief Investigator,
Monash University
Learn more

ADM+S Associate Director Jean Burgess

Dist Prof jean Burgess

Chief Investigator,
QUT

Learn more

ADM+S Chief Investigator Anthony McCosker

Prof Anthony McCosker

Chief Investigator,
Swinburne University
Learn more

Kelsie Nabben

Dr Kelsie Nabben

Research Fellow,
RMIT University
Learn more

Brooke Coco

Brooke Ann Coco

PhD Student,
RMIT University

Learn more

Annette Markham

Prof Annettee Markham

Affiliate,
Utrecht University

Learn more

Michael Zargham

Dr Michael Zargham

Industry Partner,
BlockScience and Metagov

Learn more

COLLABORATORS

BlockScience logo

BlockScience

Visit website

Metagov Logo

Metagov

Visit website