Amazon announced Echo Look
- a smart camera with a built-in AI assistant. 👀 James Vincent pointed out
: Amazon says the Echo Look will help users dress and give them fashion advice, but what other judgements could it make
? For example
Amazon’s computer vision could be attuned to look for all sorts of personal signifiers beyond what you’re wearing. It could tell if you’re pregnant, and start offering you maternity clothes, cribs, and diapers; it could tell if you’re unhappy, and offer you music and movies you like (or possibly alcohol); it could tell if you’re tired and suggest some coffee; and it could tell if you’re overweight and suggest a Fitbit—the possibilities to sell you things when a company has a device that can infer your life from photographs are relatively infinite.
The New York Times published an interesting article on the risk taking of the CEO of Uber
, Travis Kalanick. Lengthy but worthwhile insight
into the “competitive” tactics of the controversial company.
🚗 Side note: Uber have updated their privacy settings
so users can finally
easily delete their account.
A reminder to be wary of free services?
– Ashley Carman summarises -nothing is free online because you are paying for it in the form of your data
, which can be sold to third-party advertisers and / or used to target you with ads. 😶
The current Federal Communications Commission chairman, Ajit Pai, claims that removing net neutrality rules
will “restore internet freedom for all Americans”. 😔 However – removing regulations on the big cable companies will allow them to “erect barriers and tolls that impede the free movement of data around the internet
”, which 800 US startups
claim will finish them. 👎
Facebook and Google were conned out of $100m in phishing scheme
- “proving not even the biggest technology companies in the world are immune
from the increasingly sophisticated attacks of online scammers”. 😱 Read more about Fortune’s investigation here
EXCELLENT report by Boris Lubarsky
for The Georgetown Law Technology Review on the re-identification of “anonymised” data
. 🔐 If personally identifiable information is “scrubbed” from a dataset - it is then consider “anonymised” and can then “be be sold to anyone and used for any purposes”.
😰 Furthermore, Lubarsky explains how easily “scrubbed data can now be traced back to the individual user”, which creates far reaching privacy implications:
There is no comprehensive data privacy law in America – it is regulated on an ad-hoc industry-by-industry basis. None of this patchwork of laws and regulations sets limits on the use or sale of “anonymised” data. There is no duty to report if data has been re-identified. There is no private cause of action for an individual seeking redress for re-identified data, and no external way to verify if a private entity has privately de-identified “anonymised” data exists. The theory that data scrubbed of personally identifying information cannot be re-identified has time and again been shown to no longer hold true. Our current ad-hoc approach is antiquated and inadequate for addressing the new technological challenges re-identified data presents.
HIGHLY recommend reading the full report. ✅