Privacy Related Topics 
Michael Geist
APRIL 17, 2023
The Federal Court of Canada last week dismissed the Privacy Commissioner of Canada’s complaint against Facebook stemming from alleged privacy violations involving Cambridge Analytica. The Privacy Commissioner ruled against Facebook in 2019, but Facebook disagreed with the findings and took the matter to court.
IPilogue
DECEMBER 16, 2022
The AI revolution has brought about significant concerns about the privacy of big data. Thankfully, over the past decade, big tech has found a solution to this problem: differential privacy, which actors have implemented in various ways. government has implemented differential privacy for their 2020 census data.
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Technology & Marketing Law Blog
APRIL 8, 2023
California passed the California Age-Appropriate Design Code (AADC) nominally to protect children’s privacy, but at the same time, the AADC requires businesses to do an age “assurance” of all their users, children and adults alike. Doing age assurance/age verification raises substantial privacy risks.
IPilogue
FEBRUARY 23, 2023
One contentious point from the Bracing for Impact Conference: AI for the Future of Health session was synthetic data’s potential to solve the privacy concerns surrounding the datasets needed to train AI algorithms. Data augmentation is typically not useful in the privacy context. This results in more complete datasets.
Olartemoure Blog
MAY 26, 2023
This case highlights the significance of adhering to privacy regulations , regardless of an organization’s size. La entrada A wake-up call for privacy compliance se publicó primero en OlarteMoure | Intellectual Property.
Michael Geist
FEBRUARY 28, 2023
The Canadian government often talks about the importance of privacy, but actions speaks louder than words. Not only has privacy reform clearly not been a priority, but the government seems more than willing to use the weak privacy rules to further other policy goals.
Olartemoure Blog
MARCH 7, 2023
Privacy-enhancing technologies are tools and techniques designed to protect users’ personal data and privacy by enabling the analysis and sharing of insights within data, without sharing the data itself. What are PETs? They minimize the use of data as they maximize its control. Why are they useful? They can take many forms.
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