Who is in Control? The Data or Humans?
Self-quantified trackers made possible what was once nearly unthinkable: for individuals to gather data on one’s activity level in order to manage and improve one’s performance. Some have remarked that self-quantified devices can hinge on the edge of over management. As we wait for more research reports on the right dose of self-management, we’ll have to define for ourselves what the right amount of self-quantifying is. Meanwhile, it seems that businesses are also struggling with a similar dilemma: measuring the right amount of risk and harm as it relates to security and privacy. Acting FTC Chairman Maureen Ohlhausen said at a recent privacy and security workshop, “In making policy determinations, injury matters. ... If we want to manage privacy and data security injuries, we need to be able to measure them."
State of Cybercrime · Cindy Ng
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Show Notes
Self-quantified trackers made possible what was once nearly unthinkable: for individuals to gather data on one’s activity level in order to manage and improve one’s performance. Some have remarked that self-quantified devices can hinge on the edge of over management. As we wait for more research reports on the right dose of self-management, we’ll have to define for ourselves what the right amount of self-quantifying is.
Meanwhile, it seems that businesses are also struggling with a similar dilemma: measuring the right amount of risk and harm as it relates to security and privacy.
Acting FTC Chairman Maureen Ohlhausen said at a recent privacy and security workshop, “In making policy determinations, injury matters. ... If we want to manage privacy and data security injuries, we need to be able to measure them."
A clearly defined measurement of risk and harm will become ever so important as the business world embrace deep learning and eventually artificial intelligence.
Other articles discussed:
- Recovering “deleted” logs
- Other perspectives on artificial intelligence
- Transparency in algorthims required to curve bias
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