Artificial Intelligence and machine learning

In smart places, it is critical to generate insights by combining and analysing data. Artificial Intelligence (AI) and machine learning can assist this process.

They both use technology, programs and advanced computing algorithms to generate insights. They both also can aid decision making. They do this by identifying meaningful patterns in data.

Machine learning is a subset of AI. It can automate repetitive administrative tasks. In smart places, machine learning can also:

• evaluate the current condition of smart devices
• predict future behaviour
• optimise the operation of assets.

You will need to consider and manage potential discrimination and bias when using AI. This is because the needs of some minority groups may not be represented in trends or averages.

You also need to consider and manage:

• the quality and reliability of original data sources
• how AI is informing decisions
• any unintended consequences.

To be trusted, organisations must use AI responsibly. They must also keep a clear focus on outcomes for people.

Related resources

• Common understanding: simplified AI definitions from leading standards
• Artificial Intelligence Strategy
• Artificial Intelligence Ethics Policy
• Artificial Intelligence Assurance Framework
• Cyber Security NSW generative AI Guide.

Related case studies