People, Skills and Culture for Effective AI Governance
REPORT
The fourth AI Corporate Governance snapshot provides practical advice for organisations on how to strategically invest in their people, skills, and culture to ensure effective AI governance.
People, Skills and Culture for Effective AI Governance (PDF, 950KB)
Global AI Regulatory Trends: what lessons can directors learn for good corporate governance
REPORT
The third AI Corporate Governance Snapshot discusses the lessons that can be learned for directors from the different approaches regulators and legislators are taking around the world to manage the risks of AI.
AI Governance Lighthouse Case Study: University of Technology Sydney
CASE STUDY
UTS's stakeholder engagement and the development of its AI policies and procedures are examined in HTI’s third AI Governance Lighthouse Case Study.
AI Governance Lighthouse Case Study: University of Technology Sydney (PDF, 6.6 MB)
AI Governance Lighthouse Case Study: Telstra
CASE STUDY
Telstra is Australia’s leading telecommunications and technology provider. This case study explores how Telstra is currently using AI, its approach to AI governance, the governance structures that support decision-making, and the complementary support required to ensure an integrated approach is taken.
AI Governance Lighthouse Case Study: Telstra (PDF, 4.3MB)
Improving governance and training for the use of facial verification technology in NSW Digital ID
REPORT
HTI's Professor Edward Santow, Lauren Perry and Sophie Farthing have developed a governance framework and training strategy to support Service NSW in rolling out a safe, reliable and responsible Digital ID system, supported by a James Martin Institute Policy Challenge Grant.
Insight Summary: The State of AI Governance in Australia
REPORT
This summary outlines the insights from the HTI's report, The State of AI Governance in Australia, published in May 2023 based on surveys, structured interviews and workshops engaging over 300 Australian company directors and executives, as well as expert legal analysis and extensive desk research.
Insight Summary: The State of AI Governance in Australia (PDF, 2.36MB)
HTI Submission in support of the United Nations High Level AI Advisory Body
SUBMISSION
Earlier this year, the United Nations Tech Envoy announced the creation of a High-Level Artificial Intelligence Advisory Body to foster a globally inclusive approach to AI governance. UTS Human Technology Institute has published a short paper in support of the Body with suggestions for how it can contribute to robust interoperable AI governance on an international level:
HTI Submission to the UN High Level AI Advisory Body (PDF, 170KB)
HTI Submission to DISR Safe and Responsible AI in Australia
SUBMISSION
The HTI submission urges the Australian Government to adopt a strong strategic framework for regulating the development and use of AI. The submission makes six recommendations:
HTI Submission to DISR Safe and Responsible AI in Australia (PDF, 650KB)
The State of AI Governance in Australia
REPORT
This report, launched on 31 May 2023, provides company directors and senior executives with deep insights as to how Australian organisations are currently governing AI systems, and what their evolving obligations are.
The State of AI Governance Australia (PDF, 2.6MB)
HTI submission to the Privacy Act Review Report
SUBMISSION
HTI has made a submission to the Attorney-General Department’s consultation on the Privacy Act Review Report 2022 (the Review Report), strongly supporting the case for privacy reform.
HTI Submission to the Privacy Act Review Report (PDF, 203KB)
AI Corporate Governance Snapshot
REPORT
This snapshot provides early insights into the ways AI is being used by Australian organisations, the key risks that can arise to employees, consumers and citizens, and a summary of current obligations and duties that may apply.
HTI AI Corporate Governance Snapshot (PDF, 238 KB)
Facial recognition technology: Towards a model law
REPORT
In September 2022, the Human Technology Institute published a world-leading report, outlining a Model Law for facial recognition. This report responds to growing calls for reform from leading voices in civil society, the private sector, government and academic experts. Our law should protect against harmful uses of facial recognition, while also fostering innovation for public benefit.
Facial recognition technology: Towards a model law (PDF, 3.7MB)
