VCE Data Analysis Word Scramble: Privacy and the Australian Privacy Principles and Ethics and APA referencing (Modules 38–54)
Name:
Date:
Class:
🔤
Word scramble
Unscramble the letters and write each key term on the line.
1
PAP 2
Australian Privacy Principle 2: people can choose to stay anonymous or use a pseudonym with an organisation, unless that is impractical or the law requires them to identify themselves.
2
RAMPYIR UPERPOS
The reason personal information was collected. Under APP 6, check each proposed use against it. Any other use is a secondary use and needs consent or a legal exception.
3
YUCSIERT SUMERSAE
Controls such as passwords, access control, encryption and backups that protect personal information in a dataset from misuse, loss or unauthorised access.
4
PPA UQTRCEII
Check a system against one APP at a time: say what it does, judge if it meets that principle using evidence from the policy or audit, then suggest an improvement.
5
AKLC FO EAANYSRCPRTN
When people are not told what data is collected, how it is used or how a conclusion was reached, such as hidden data collection, unexplained AI decisions or unclear privacy policies.
6
USEIMS FO SORPALEN AATD
Using or sharing personal data in ways the person did not agree to or that harm them, such as selling it, identity theft, or using it for a different purpose.
7
AADT IPUPGRNSEOR
When an AI system reuses or shares data collected for one purpose, such as training, without the knowledge or consent of the people it came from. Removing it from a trained model is hard.
8
IALCTEH ESISU SLNIASAY
Name the issue, identify the stakeholders affected and the harm done, link it to an APP, then recommend an action to fix it.
Answer Key
VCE Data Analysis · Modules 38–54
1PAP 2 → APP 2 — Australian Privacy Principle 2: people can choose to stay anonymous or use a pseudonym with an organisation, unless that is impractical or the law requires them to identify themselves.
2RAMPYIR UPERPOS → primary purpose — The reason personal information was collected. Under APP 6, check each proposed use against it. Any other use is a secondary use and needs consent or a legal exception.
3YUCSIERT SUMERSAE → security measures — Controls such as passwords, access control, encryption and backups that protect personal information in a dataset from misuse, loss or unauthorised access.
4PPA UQTRCEII → APP critique — Check a system against one APP at a time: say what it does, judge if it meets that principle using evidence from the policy or audit, then suggest an improvement.
5AKLC FO EAANYSRCPRTN → Lack of transparency — When people are not told what data is collected, how it is used or how a conclusion was reached, such as hidden data collection, unexplained AI decisions or unclear privacy policies.
6USEIMS FO SORPALEN AATD → Misuse of personal data — Using or sharing personal data in ways the person did not agree to or that harm them, such as selling it, identity theft, or using it for a different purpose.
7AADT IPUPGRNSEOR → Data repurposing — When an AI system reuses or shares data collected for one purpose, such as training, without the knowledge or consent of the people it came from. Removing it from a trained model is hard.
8IALCTEH ESISU SLNIASAY → Ethical issue analysis — Name the issue, identify the stakeholders affected and the harm done, link it to an APP, then recommend an action to fix it.