
Publication
Training AI models and copyrighted materials
For the first time, a US court has found that copyright was infringed by copying works for the purpose of training an AI legal research tool.
Author:
Australia | Publication | October 2022
The federal government announced late last week it will introduce amendments to the Telecommunications Regulations 2021 designed to allow telecommunications entities that have suffered a data breach to share data of affected customers with all APRA-regulated financial institutions, except branches of foreign banks. The data sharing is intended to enable the financial institutions to provide enhanced monitoring and safeguards to protect their customers from fraud and other financial harm.
The data-sharing scheme is elective: financial institutions can choose to participate. Doing so may allow a financial institution to provide better outcomes for its customers, but the financial institution must meet certain criteria to take part. While we are still awaiting the detailed regulations to be published imminently, the various press releases have provided high level detail on what financial institutions may be able to receive in the near future.
All APRA-regulated financial institutions are eligible, except branches of foreign banks.
The government’s amendments of the regulations to facilitate such cross-sectoral data sharing for the purpose of customer protection is an unprecedented move in the face of the scale of the Optus breach. While many financial institutions may wish to avail themselves of the option, the above requirements are significant and any organisation attempting to do so will need to ensure that it has adequately and appropriately established the relevant governance and suitable systems, processes and controls to protect customer data. Our Digital Operations, Cyber Risk and Financial Crime Risk Advisory team would be happy to assist should your organisation wish participate in the scheme.
Publication
For the first time, a US court has found that copyright was infringed by copying works for the purpose of training an AI legal research tool.
Publication
Federally regulated employers may soon be required to review and possibly raise pay rates for part-time, seasonal or casual workers under new “Equal Treatment” wage rules.
Publication
Developing high-performance generative AI systems and other AI systems based on machine learning often requires access to vast amounts of data for training (AI training data) and improving their accuracy and performance, and data scraping is an approach that is taken to generate large enough data sets.
Subscribe and stay up to date with the latest legal news, information and events . . .
© Norton Rose Fulbright LLP 2025