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Item 295 of 426 · Year 12: Software Automation, 2 of 35
Artificial intelligence (AI)
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Definition
The broad field of making computers perform tasks that normally need human intelligence (reasoning, understanding language, recognising images). ML is one way of achieving AI.
Example: All ML is AI but not all AI is ML.
Found in: syllabus, 2025 HSC marking guidelines, sample exam and familiarisation guidelines, school notes, past SDD papers.
Machines performing tasks that need human intelligence; ML is a subset.
Where you'll use it in the test
Syllabus area: Y12 Software Automation.
Question types it can appear in
- Short answer: Distinguish AI from ML or neural networks (2025 Q25)
- Multiple choice: Pick the option that matches the definition or example.
- Extended response: Use it as a supporting point linked to the stimulus.
Where it has appeared in the paper
Software Automation (Part A, C). Part letters follow each paper’s own layout.
Related past questions
- 2025 HSC Q25 (5 marks): Patterns in human behaviour; neural networks (virtual personal assistant) Software Automation (Part A) · 5 marks
- Familiarisation Q14 (8 marks): AI and ML in society; privacy Software Automation (Part C) · 8 marks
How to use it
A model sentence
“The broad field of making computers perform tasks that normally need human intelligence (reasoning, understanding language, recognising images).” Then apply it: All ML is AI but not all AI is ML.
In a short answer, give the definition in your own words first, then tie it to the situation in the question. Do not copy the example above unless it fits the scenario.
Command words used with it
- Explain: Relate cause and effect; make the relationship between things evident; provide why and/or how. (2025 HSC Q25 (5 marks): Patterns in human behaviour; neural networks (virtual personal assistant))
Official worked answer
2025 HSC Q25 (5 marks): Patterns in human behaviour; neural networks (virtual personal assistant) (5 marks): official criteria and sample answer
Criteria
5: Explains how the neural network supports the VPA AND includes one positive AND one negative impact. 4: Explains how the NN supports the VPA OR outlines how it supports the VPA and includes one positive AND one negative impact. 3: Outlines features of a neural network AND/OR impacts. 2: Outlines a feature of a neural network OR an impact, OR identifies features/impacts. 1: Some relevant information.
Sample answer
Neural networks recognise natural language patterns to categorise common support queries, such as lost luggage, and use nodes to assist with processing. They assess language tone to gauge frustration or urgency, allowing the virtual personal assistant to recommend specific phrasing for customer service staff. For instance, calming language may be suggested for distressed customers. By tracking customer ratings and turnaround times, the neural network uses weightings to refine recommendations to prioritise high-frequency queries or improve suggestions for poorly rated interactions. While this system streamlines support processes and improves response accuracy, it may also impact the role of customer service staff. As the neural network learns from interactions, staff may rely more on its recommendations, potentially reducing their familiarity with emerging query trends or response strategies. Customers may come to expect faster, more precise service, raising the standard for human interactions.
Go deeper
- Flashcard: Artificial intelligence (AI) in Software Automation (Year 12) · study that set
- Memorise: AI v ML; ML supporting automation (DevOps, RPA, BPA)
- Key terms bank entry: AI
- Master answer: hsc2025-q27 (6 marks, extended response (explain, video stimulus)) (Master model answers: Software Automation)
- Notes: Explore by implementation how patterns in human behaviour influence ML and AI software… (Software Automation (Year 12))
- Notes: Investigate the effect of human and dataset source bias in the development of ML and AI… (Software Automation (Year 12))
- Full term page: every question, note and marking comment for Artificial intelligence (AI)
Check yourself
Explain “Artificial intelligence (AI)” in one sentence, give an example, and name a question type that could test it.
Reveal the answer
The broad field of making computers perform tasks that normally need human intelligence (reasoning, understanding language, recognising images). ML is one way of achieving AI.
Example: All ML is AI but not all AI is ML.
Could be tested as: Short answer, Multiple choice, Extended response.