Information Governance in the AI age
InfoGovANZ has released new guidance on Agentic AI: Information Governance, Risk and Practical Controls. It is intended for information governance, privacy, cybersecurity, records, legal, risk, procurement, technology, audit and business leaders assessing or deploying agentic AI. Agentic AI differs from conventional generative AI in that it can go beyond producing a […]
Our recent Meetup discussion on Generative AI meeting transcription technologies highlighted significant governance challenges faced by organisations. The session explored how different platforms (Microsoft Teams, Google Meet and Zoom) handle consent notifications, transcript access controls, and data storage—revealing important variations that impact privacy, compliance, and information security. For organisations working […]
The National Archives of Australia guidance on ‘Information Management for records created using AI technologies’ was published in January 2025 and covers: What are the types of AI technologies? What are the types of AI records? General principles Determining how long to keep AI generated records Managing records created […]
The Policy for the responsible use of AI in Government Agencies comes into force on 1 September 2024. Departments and agencies must meet the mandatory requirements for accountable official(s) by 30 November 2024 and transparency statements by 28 February 2025. The policy aims to create a coordinated approach to government use of AI and has been designed […]
The Public Record Office of Victoria published on 4 March 2024 the Artificial Intelligence (AI) Technologies and Recordkeeping Policy. The Policy is designed to address transparency and accountability concerns in relation to AI implementation and use and to enable explainable AI use. This includes the production of full and accurate […]
In collaboration with the private and public sectors, the U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has developed a framework to better manage risks to individuals, organisations, and society associated with artificial intelligence (AI). The NIST AI Risk Management Framework (AI RMF) is intended for voluntary […]
