Digital Ethics

Digital Ethics

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People Aren’t Meant to Talk This Much
People Aren’t Meant to Talk This Much
Breaking up social-media companies is one way to fix them. Shutting their users up is a better one.
·theatlantic.com·
People Aren’t Meant to Talk This Much
shoshana wodinsky (she/her) on Twitter
shoshana wodinsky (she/her) on Twitter
good news pals! we're doing a live comb-thru of the hundreds (and hundreds) of facebook docs that were leaked to the press, and giving you guys open access to those docs when we can: https://t.co/PMiUhbn7zw— shoshana wodinsky (she/her) (@swodinsky) October 26, 2021
·twitter.com·
shoshana wodinsky (she/her) on Twitter
Teemu Roos on Twitter
Teemu Roos on Twitter
I heard that the Finnish Parliament had had a hearing where they had interviewed "an AI". Turned out it was a GPT-3 powered system called Project December by @jasonrohrer. Jason kindly allowed me to give the system a go, so I did. Here's what happened... #stochasticparrots pic.twitter.com/vJqc3Mjst5— Teemu Roos (@teemu_roos) April 10, 2021
·twitter.com·
Teemu Roos on Twitter
Alastair Somerville on LinkedIn: #codesign
Alastair Somerville on LinkedIn: #codesign
Needed to define #codesign for a new youth culture project. This definition really exists to enable me to validate the feeling of uncertainty that people...
·linkedin.com·
Alastair Somerville on LinkedIn: #codesign
Facebook Political Problems
Facebook Political Problems
Facebook’s political problems stem directly from its size and drive for growth; they are societal issues, not antitrust ones.
·stratechery.com·
Facebook Political Problems
Faces
Faces
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces.
·arxiv.org·
Faces
The Real Reason Tech Struggles With Algorithmic Bias
The Real Reason Tech Struggles With Algorithmic Bias
Opinion: Humans train the machine-learning and AI systems at Facebook, Google, and Twitter to filter out bias. The problem: they don't know what they're looking for.
·wired.com·
The Real Reason Tech Struggles With Algorithmic Bias
Facebook clamps down on its internal message boards.
Facebook clamps down on its internal message boards.
The social network, which has been under increased scrutiny after a former product manager turned into a whistle-blower, is trying to prevent leaks.
·nytimes.com·
Facebook clamps down on its internal message boards.
We need to talk about Apple’s surveillance empire
We need to talk about Apple’s surveillance empire
Apple has taken a public stand on privacy, curtailing data abuses by apps and declaring it doesn’t exploit its users’ information. But it has also created comprehensive new ways to track us
·wired.co.uk·
We need to talk about Apple’s surveillance empire
How Frances Haugen Left Mark Zuckerberg Speechless
How Frances Haugen Left Mark Zuckerberg Speechless
Facebook’s whistleblower, who leaked tens of thousands of documents about the company’s algorithms, could succeed where others failed.
·bloomberg.com·
How Frances Haugen Left Mark Zuckerberg Speechless
3 lessons from IBM on designing ethical AI
3 lessons from IBM on designing ethical AI
A new case study, co-authored by the World Economic Forum, delves into the lessons learned at IBM in the company's quest to develop ethical AI technology.
·weforum.org·
3 lessons from IBM on designing ethical AI