Build community trust through safe and efficient data practices.
Technology is evolving constantly and rapidly. Our policies and practices must keep pace to ensure data is safe and that we embrace the opportunities that new technologies provide.
More than ever, we must prioritise meeting expectations that data is collected and managed responsibly, ethically and securely and used for the benefit of our community.
The NSW Government aims to take a proactive ‘collect once, build once and use often’ approach to data management. This approach delivers a streamlined experience for our customers. It also provides for increased consistency and efficiency in data management through shared and fit-for-purpose data platforms, tools and methods.
Our goal is to build community trust in government’s data practices through enhancing privacy and safety, by using data effectively to deliver the insights that government needs to build better communities, and by being accountable, efficient and transparent in managing and using data.
3A: Build community trust with strong and fit for purposes approaches to privacy and security
3B: Shared approach to emerging trends and technologies, including AI
Our aim is for NSW Government’s data practices to be coordinated, transparent and trusted. This includes being proactive and accountable in protecting and sharing data while also using it to best effect.
The way personal and sensitive information is handled and used is changing as technology advances. Governments are increasingly implementing safe data sharing practices to generate more holistic views and valuable insights that were previously unavailable. Advances in technology can also enhance protection of personal information.
To build community trust and social licence, the NSW Government must use and manage data responsibly and accountably. It must also provide true and clear information to the community about its data practices.
Advances and innovation in data use must be accompanied by effective data security and privacy mechanisms at the regulatory, policy and practice levels, along with exploring suitable approaches to social licence testing.
The exponential advancement and uptake of AI technologies in recent years highlights the need for government to take a planned, coordinated approach to addressing the challenges and opportunities of innovation. This includes being proactive in managing data practice implications.
A siloed approach to managing emerging technologies is likely to result in inefficient and inconsistent practice and duplication of effort.
Our aim is to embed proactive and shared methods for managing technological change. This includes developing strong data capability and literacy fundamentals along with coordinated solutions.