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Between 7 and 11 lessons you can learn from the latest OAIC privacy case

October 15, 2021, Anna Johnston

A case involving facial recognition technology and customer satisfaction surveys offers plenty of lessons in how privacy law applies to Australian businesses. In June 2020, ...

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Filed Under: Uncategorized

Privacy and gender: what to ask, when and why

September 13, 2021, Samantha Floreani

Hey, before we start, can I just ask: are you male, female or other?  Are you bristling at even being asked? Collecting accurate data on gender can, when done ...

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Filed Under: Uncategorized

What covid apps can teach us about privacy, utility and trust in tech design

August 3, 2021, Anna Johnston

The release last week of the report into the first 12 months of the federal government's beleaguered ‘COVIDSafe’ app got me thinking about the importance of Privacy by Design ...

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Filed Under: Uncategorized

Cat or carrot? Assessing the privacy risks from algorithmic decisions

June 9, 2021, Anna Johnston and Sam Floreani

Artificial intelligence (AI), and its impacts on privacy and other human rights, have been the focus of much attention in the past two months.  From the European Commission ...

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Filed Under: Uncategorized

Not too much identity technology, and not too little

May 12, 2021, Steve Wilson

The World Health Organisation (WHO) has released the first of a series of design documents concerning digital proof of COVID-19 vaccination, as the start of a process to ...

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Filed Under: Uncategorized

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Recent Posts

  • OAIC determinations shed light on when data is regulated as ‘personal information’
  • Big Tech, Individuation, and why Privacy must become the Law of Everything
  • Should birds of a feather be FLoC’d together?
  • Why can’t Aunty get the ABCs of privacy right?
  • Privacy law reform in Australia – the good, the bad and the ugly
  • Between 7 and 11 lessons you can learn from the latest OAIC privacy case
  • Privacy and gender: what to ask, when and why
  • What covid apps can teach us about privacy, utility and trust in tech design
  • Cat or carrot? Assessing the privacy risks from algorithmic decisions
  • Not too much identity technology, and not too little

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