An intruder gaining unauthorized access to private data used to pose the biggest threat to our digital identities, writes Andrew Burt, chief privacy officer and legal engineer at Immuta, in Harvard Business Review.
While that’s still worth worrying about, Burt keys in on a more insidious threat: unintended inferences powered by machine learning that can identify individuals based on patterns in huge data sets. The data could be stolen (Marriott customer data) or freely available online (an anonymous social media post in which an algorithm IDs the author by analyzing and comparing text samples).
Either way, as Burt notes, these inferences “threaten our anonymity” and could reveal everything from health data to political leanings.
“Once we generate data, anyone who possesses enough of it can be a threat, posing new dangers to both our privacy and our security.”
It’s worth reading the entire piece. It explores whether consumers truly understand what their giving away when they consent to sharing data and touches on the notion that there should be legal safeguards against powerful pattern recognition techniques enabled by machine learning.
Join panelists Scott Duhaime of GE Digital and Dave Geiger of GrayMatter for a free “Ask the Experts” online forum about GE iFIX at 2 p.m. Jan. 24 (EST).
This is the second in a series of forums focused on upgrading to iFIX 6.0 and using custom-built, high-performance HMI graphics, which is among the services GrayMatter offers. If you missed GrayMatter’s first iFIX session, you can find it here.
Submit your questions before Jan. 24 so Scott and Dave can address them during the forum.
And check out a short overview from Dave Geiger about the new features in iFIX 6.0.
Marketplace Tech’s Molly Wood spoke with tech policy reporter Cecilia Kang of the New York Times about government regulations in 2019 that could could affect technology companies — particularly search engines and social media platforms.
“…one thing that’s really changed over the last two years in Washington is that the general sentiment toward the tech industry and this feeling that Big Tech, the biggest tech companies, no longer should be completely immune of regulation,” Kang said.
Kang said she suspects Big Tech companies will be more affected by class action lawsuits and government investigations rather than new regulations.
For the full report:
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