Protect

Large International Healthcare provider’s AI policy and AI governance framework

AI Policy and Governance Framework developed by MinterEllison’s AI Advisory team, addressed high risk fragmented AI implementation and inconsistent approval processes across jurisdictions causing inefficiencies. The framework included an AI system use review, streamlined governance processes, an AI Ethics Implementation Guide, a Risk Assessment methodology, and practical governance tools like the AI Impact Assessment Tool.

Large independent educational association privacy review

Performed a comprehensive review of client’s privacy documents, including Privacy Policy and applicable Collections Notices, Privacy Procedures and Privacy Playbook to enable safe and responsible use of artificial intelligence, in compliance with Australian Privacy Laws.

Enhance

NSW Government Agency’s AI governance uplift

A NSW Government agency operating critical infrastructure sought to enhance its AI governance capabilities to meet evolving operational demands. The organisation needed to navigate a complex regulatory landscape, including overlapping state and federal legislation. They required a scalable AI governance approach aligned with public sector requirements and critical infrastructure considerations. The agency was advised by MinterEllison’s AI Advisory team on legal regulatory standards, and our team developed a modular AI Governance Framework specific to the client’s regulatory context, created tailored risk assessment tools, established clear governance processes, and delivered practical implementation guides for consistent application across business units.

Elevate

Large State Department’s AI governance pathway

MinterEllison advised a large State Department on the risks and opportunities of using generative AI technologies, such as ChatGPT, in public service. This included addressing critical legal, technical, and strategic risks to provide a holistic approach to AI-related challenges and opportunities. The advice encompassed the establishment of AI policies and related documents, development of a responsible AI use strategy, creation of cohesive AI governance policies, and preparation of a Risk Impact Assessment to methodically consider critical risks and facilitate systematic documentation.