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	Podcast:		Inside Out Security
	Episode:		Who is in Control? The Data or Humans?
	Category:		Technology
	Duration:		00:22:38
	Publish Date:		2017-12-19 03:00:00
	Description:		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 Panelists: Kilian Englert, Mike Thompson, Kris Keyser
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