Facebook has admitted to misreporting:
— Rachel Thomas (@math_rachel) December 27, 2018
- reach of posts on FB Pages
- rate that viewers complete ad videos
- avg time spent reading “Instant Articles"
- referral traffic to external websites
- # of views videos received via mobile
- # of video views in Instant Article pic.twitter.com/Kf5MQk9H7J
We need to have a serious debate in society about whether terms of service is the same as informed consenthttps://t.co/LJBuoO6aDZ
— Mark O. Riedl (@mark_riedl) December 20, 2018
apple also keeps identifiable recordings on their servers from siri, but they don't let you access them because they don't give you access to your relevant siri device ID, and just shrug. irish regulator is investigating them after I complained see https://t.co/FuG71PTKtR
— Michael Veale (@mikarv) December 20, 2018
This story exposes the myth of control. Spotify & Netflix could read *private* FB messages. Microsoft, Amazon & Yahoo all had access far beyond what ANY user agreed to. The total lack of respect for user wishes is the infinitely repeating scandal of 2018 https://t.co/bbVm8odT56
— Kate Crawford (@katecrawford) December 19, 2018
Personalized ad targeting lends itself to authoritarian, manipulative, & discriminatory uses (but it's not too late to change business models) @zeynephttps://t.co/BPkqtpUgSm pic.twitter.com/XkDBKo5ELC
— Rachel Thomas (@math_rachel) December 18, 2018
Upturn provides us with an much needed report on how algorithms are affecting hiring decisions. Short version: a lot, with very little accountability or transparency.https://t.co/PGpF5YGUDp
— Cathy O'Neil (@mathbabedotorg) December 16, 2018
h/t @SIraGrossman
here's the full version: https://t.co/rhXtEcDjSG
— Hal Daumé III (@haldaume3) December 14, 2018
"Improving fairness in machine learning systems: What do industry practitioners need?" conditionally accepted to #CHI2019.
feedback very welcome!!! pic.twitter.com/ktB5w8cHUk
We already have more than enough evidence that tech companies are not going to stop the societal harm they're causing on their own accord. https://t.co/uisl6nHXOC
— Rachel Thomas (@math_rachel) December 11, 2018
This is a nice write-up of our panel on data science and AI ethics at the AI Summit in NYC last week: https://t.co/jyxFMij6fo
— Hilary Mason (@hmason) December 10, 2018
(I highlighted the part that most stood out to me.) pic.twitter.com/eHDNBrGg3p
Your apps are stalking you -- to your home, to your doctor, to your ex-boyfriend's house.
— Nick Confessore (@nickconfessore) December 10, 2018
They are selling what they find out.
And they are lying to you about it.
A @jenvalentino + @natashanyt + @mhkeller + @Aaron_Krolik blockbuster. https://t.co/G5pfj9LtIN
Syllabus w links to articles & slides for "Social Implications of Computing" course at UC Berkeley, required for EECS majors. Covers income inequality, bias, automation, political impact, attention, surveillance, war, & more:https://t.co/DMTXK23pWm
— Rachel Thomas (@math_rachel) December 8, 2018
about @DataRobot's work with Homeland Security to predict terrorists: "the documents make no mention of an appeals system... Accountability remains a fundamental problem in the fields of machine learning and computerized prediction"https://t.co/IOf7JOHSkC
— Rachel Thomas (@math_rachel) December 5, 2018
h/t @ledell pic.twitter.com/t4ZeW16vgp
