Chapter
Data Anonymization and its Issue in Ensuring Privacy
1:01:01 - 1:12:06 (11:05)
While data anonymization is a widely adopted technical solution for data privacy, it has several fundamental flaws that make it susceptible to re-identifying people, especially when combined with other anonymized data sets and publicly available information.
Clips
The trend of adopting ideas from computer science, learning how to code, and becoming more sophisticated about computer science is firmly underway, even among lay people.
1:01:01 - 1:06:23 (05:21)
Summary
The trend of adopting ideas from computer science, learning how to code, and becoming more sophisticated about computer science is firmly underway, even among lay people. However, it may not be a great time for computer scientists to start implementing algorithms that would decide what's fair or give input on that decision.
ChapterData Anonymization and its Issue in Ensuring Privacy
EpisodeMichael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
PodcastLex Fridman Podcast
Anonymizing data is often seen as a solution to maintain privacy, but it is deeply flawed as re-identification is possible by combining it with other data sets or publicly available information.
1:06:24 - 1:12:06 (05:42)
Summary
Anonymizing data is often seen as a solution to maintain privacy, but it is deeply flawed as re-identification is possible by combining it with other data sets or publicly available information.