Client Privilege at Risk: Sharing Legal Advice with AI Models
The rise of Large Language and Multimodal Models introduces a dilemma for legal confidentiality, risking the inadvertent waiver of Legal Professional Privilege (LPP) when privileged advice is fed into common chatbots. Stirling & Rose considers the implications in Australia, Singapore, the UK, and the US.
Yes – Australian Financial Services Law and Licensing Requirements apply to Crypto Assets
The Block Earner judgment and Hala prosecution should leave the web 3 community with the clear and unequivocal guidance they have been seeking as well as clarity on the application of criminal penalties and imprisonment when licensing requirements are not met.
Deepfake Fraud at the Executive Level – A Simple Governance Fix?
A recent fraudulent scheme in Hong Kong illustrates the alarming level of sophistication in deepfakes – and the urgent need for established protocols.
What is a Synthetic Director?
The Hybrid Boardroom of AI and Human Collaboration
Safe & Responsible AI in Australia Submission
Stirling & Rose welcomes the Department’s discussion paper and supports the Department’s commitment to Safe and Responsible AI.
What is a Strategic Data Lake?
Stirling & Rose recommends each sovereign nation prioritise strategic data lakes in their AI policy strategy.
Safe & Responsible AI in Australia: Submission Template
Stirling & Rose responds to the Law Commission of England and Wales recent call for evidence on decentralised autonomous organisations.
US: DAOs Liable for Commodity Futures Trading
A recent decision handed down by a U.S. Federal Judge has established a precedent that the decentralised nature of a Decentralised Autonomous Organisation (DAO) will not protect it from regulatory scrutiny.
Safe and Responsible AI in Australia – Submission Roadmap
Stirling & Rose can offer assistance to you in helping prepare a response to the Australian Government's Safe and Responsible AI Consultation Paper.
Post Human Law: Will AI Regulation Save Us?
As concerns around the implications of AI grow, many have called for the regulation of AI. But is it really that simple?