„We found that YouTube is driving millions of people to watch climate misinformation videos every day.
— Radek Osmulski (@radekosmulski) January 16, 2020
(...) YouTube’s recommendation algorithm is giving these videos free promotion and showing misinformation to millions who wouldn’t have been exposed to it otherwise.„ https://t.co/ZEBJUqjScW
South Korea's popular interview-prep business now offers candidates advice for dealing with AI screening - particularly, how to compose your face so your emotions are "correctly" interpreted by the machine https://t.co/FlcTI8lCWd
— James Vincent (@jjvincent) January 14, 2020
Reminder: The UN found that Facebook played a “determining role” in the genocide in Myanmar.
— Rachel Thomas (@math_rachel) January 8, 2020
Facebook also played an instrumental role in the election of Duterte in the Philippines. https://t.co/5QjzpsXWrC
- It would take average American 40 mins a day to read every privacy policy they saw
— Rachel Thomas (@math_rachel) January 5, 2020
- Companies rely on manipulative design to get people to spend more time & money, and share more data
- Many of these services aren’t avoidable in any meaningful sensehttps://t.co/YV8jHygns7 pic.twitter.com/7QotA0Hk7r
A new paper has been making the rounds with the intriguing claim that YouTube has a *de-radicalizing* influence. https://t.co/TTtWR0uBgi
— Arvind Narayanan (@random_walker) December 29, 2019
Having read the paper, I wanted to call it wrong, but that would give the paper too much credit, because it is not even wrong. Let me explain.
Most read of 2019: Pricing algorithms learned to collude with each other… without being instructed to do so. https://t.co/Og37R7hwBd
— MIT Technology Review (@techreview) December 28, 2019
Tech platform companies subvert democratic processes in many ways. Here’s an insidious one that hasn’t gotten much attention: using the power and reach of the platform to misinform users or workers into campaigning to block proposed regulation, often against their self interest.
— Arvind Narayanan (@random_walker) December 27, 2019
How did our advice about research ethics work out, four years later? https://t.co/XCthSBIM4h
— Andrew Gelman (@StatModeling) December 24, 2019
New: Colleges are tracking students' location to enforce attendance, analyze their behavior and assess their mental health. One company calculates a student's “risk score” based on factors such as whether she is going to the library enough https://t.co/EvPcXgSIOh
— Drew Harwell (@drewharwell) December 24, 2019
This startup claims its deepfakes will protect your privacy. But some experts say its technique violates GDPR. https://t.co/jyaeslFssk
— MIT Technology Review (@techreview) December 24, 2019
I first got interested in ethics in NLP/ML becuase I was asking "does this system work well for everyone". It's a good question, but there's a more important important one:
— Rachael Tatman (@rctatman) December 19, 2019
Who is being harmed and who is benefiting from this system existing in the first place?
Amazon is deeply cowardly when it comes to getting their facial recognition algorithm audited. Nobody should be willing to pay for this. https://t.co/kmhmSyln7R
— Cathy O'Neil (@mathbabedotorg) December 19, 2019
