The world of digital health is largely based on tracking–via smartphones, wearables, watches–and analytics taking and modeling All That Data we generate. Are we in compliance with our meds? Are we exercising enough? How’s our A1c trending? Drinking our water? All this monitoring–online and offline–is increasingly of concern to Deep Thinkers like Dr Tufekci, a reformed computer programmer, now University of North Carolina assistant professor and self-proclaimed “techno-sociologist.” At IdeaFestival 2015, she took particular aim at Facebook (surprisingly, not at Google) for knowing a tremendous amount about us by our behavior, of course using it to anticipate and sell us on what we might want. The ethics of machine learning are still hazy and machines are prone to error, different than human error, and we haven’t accounted for machine error in our systems yet. Like that big health data that mistakes a daughter for her mother and drops critical health information from a patient’s EHR [TTA 29 Sep]. A thought-provoker to kick off your week. TechRepublic
Related: The Gimlet Eye took a squint at Big Brother Gathering and Monetizing Your Big Blinking Data–data mining, privacy and employer wellness programs–back in 2013, which means the Eye and Dr Tufekci should get together for coffee, smartphones off of course. While Glass is gone, the revolt against relentless monitoring is well-dramatized in the well-watched video, ‘Uninvited Guests’. And we can get equally scared about AI–artificial intelligence–like Steve Wozniak.