AI Corporate Governance Resource Library

This resource library has been compiled for individuals and organisations seeking further AI governance information and resources to support organisational transformation.

Commentary and analysis 

Gilbert + Tolbin: Digital Hub 

 

Principles to practice  

Atlassian (2023): Responsible Technology Principles and Responsible Technology Review Template 

Atlassian (2024): Our No BS Guide to Responsible Technology

Gradient Institute & CSIRO (2023): Implementing Australia’s AI Ethics Principles: A selection of Responsible AI practices and resources 

 

Stakeholder engagement and impact assessments 

Microsoft (2022): Responsible AI Impact Assessment Template 

Microsoft (2022): Responsible AI Impact Assessment Guide 

Ada Lovelace Institute (2023): Going Public 

Ada Lovelace Institute (2022): Algorithmic Impact Assessments NHS Case Study 

 

Risk management and standards 

ISO/IEC 42001 (2023): Artificial Intelligence Management System 

National Institute of Standards and Technology (2023): Artificial Intelligence Risk Management Framework (AI RMF 1.0) 

 

Attitudes and perceptions 

KPMG & The University of Queensland (2023): Trust in Artificial Intelligence A global study 

 

Policy and regulation 

Department of Industry, Science, Resources and Technology (2024): Safe and responsible AI in Australia consultation Australian Government’s Interim Response 

Keynote address Shaping our Future Symposium, Joe Longo (2024): ‘We’re not there yet: Current regulation around AI may not be sufficient’  

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.