We tracked a bag of rice on Amazon as its price fluctuated from $10 to $60.@atsaraharrison explains how Amazon’s dynamic pricing algorithm leads to this outcome. https://t.co/x5WRfsKD8r pic.twitter.com/lIDNUjRUT3
— Julia Angwin (@JuliaAngwin) April 28, 2020
Last week, Mark Zuckerberg vowed that Facebook was fighting misinformation.
— Julia Angwin (@JuliaAngwin) April 23, 2020
This week, @themarkup was able to buy an ad targeting Facebook users who were interested in “pseudoscience.” https://t.co/z6JmSM0UHW
Ratcheting up surveillance to combat the pandemic now could permanently open the doors to more invasive forms of snooping later. It is a lesson Americans learned after the terrorist attacks of Sept. 11, 2001, civil liberties experts say.https://t.co/Stkn7vNrWE pic.twitter.com/hhyyGCW8j9
— Rachel Thomas (@math_rachel) March 23, 2020
The https://t.co/ktYtgB7WOT data ethics course will be released this summer, although I want to share one video early:
— Rachel Thomas (@math_rachel) March 20, 2020
Disinformation (covering disinfo+coronavirus for first 30 mins)
Watch it here: https://t.co/FSWjHDjkHy 1/ pic.twitter.com/LaYC81axaI
All my data lovers:
— Brandon Rohrer (@_brohrer_) March 15, 2020
Playing with a high consequence COVID-19 data set is a thrill.
When you turn it into a plot you tell a story. Unless you’re an epidemiologist you probably won’t get the story right.
What data means matters.
Lives are on the line. Be cautious.
h/t @matplotlib https://t.co/vw7gVD13H8
When are we going to learn better than to trust an AI startup to claim something as important as an automated "gender bias cure" in the workplace can be obscured from scrutiny and described as "secret sauce"?
— Cathy O'Neil (@mathbabedotorg) March 12, 2020
Come on, people.https://t.co/fgr6oKQrqi
Watered down, vague and useless "AI Principles" for the DOD that make me fear AI ethics washing is quickly transforming into a well paid and corrupt industry.https://t.co/CuWW0hefZB
— Cathy O'Neil (@mathbabedotorg) March 2, 2020
The usual reason for filter bubbles is engineers throwing a bunch of features into a model without thinking carefully about the effects and not taking steps to prevent stereotyping.
— Arvind Narayanan (@random_walker) February 24, 2020
Here someone had to explicitly write code to stereotype people based on appearance.
Innovation! https://t.co/V2peZMygoI
European Union swiftly pivots from 'let's ban facial recognition' to 'let's create a pan-European database of facial data'. https://t.co/vhQgk8L3zO
— Michael Veale (@mikarv) February 22, 2020
This is huge.
— Jeremy Howard (@jeremyphoward) February 20, 2020
The creator of the YOLO algorithms, which (along with SSD) set much of the path of modern object detection, has stopped doing any computer vision research due to ethical concerns.
I've never seen anything quite like this before. https://t.co/jzu1p4my5V
"There was a time when it was legal to own people, and illegal for them to run away... When there is that moral lag, that gap between what is legal and what is right, privacy is the shield that allows the unpopular & persecuted to survive & thrive." @alvarombedoya pic.twitter.com/wmsPwV5A8x
— Rachel Thomas (@math_rachel) February 17, 2020
The Bloomberg campaign nixed its deception *hours* after this Twitter exposé.
— Arvind Narayanan (@random_walker) February 14, 2020
The powerful try and get away with all kinds of technological trickery because they assume no one is looking. If you're a technologist, one of the best things you can do is challenge that assumption. https://t.co/2xWZDDkyER
