Tagged: Twitter
↪ Replying to @unknown
@olaberg Fast jag tycker det är efficient som saknar motsvarighet. Att man kan jobba "efficiently" utan att nå önskad effekt med resultatet.
Sometimes the Swedish language illustrates how some concepts are much harder to explain, because the words just aren't there. So frustrating.
↪ Replying to @JesperBylund
@JesperBylund In How the world thinks :)
Most of my philosophy lessons I'm getting online actually.
↪ Replying to @unknown
@adblanche @LauraColban @rwaldron @RealSaavedra @AOC x.com/axbom/status/1…
My bookshelf on ethics-related matters. There are more books lying around the house though.
↪ Replying to @unknown
@opassande I tried switching to the Google Authenticator but that just broke Twitter when I tried logging in.
Hmmm, not able to receive my text from Twitter for 2-factor authentication (been 2 days now). This means I can't reach my Twitter from anywhere but the two places I'm already logged in. 😬 Trying to understand how bad this is right now.
How do you feel about the practice of ripping videos from other sources and uploading them to ones own channel without explicit consent?
(Be it Twitter, Facebook, YouTube or other.)
Then, how do you feel about doing the same with images?
This problem with reporters who can not fact check before they report, and hence contribute to misinformation and even further prejudice... it's a big one. x.com/RealSaavedra/s…
↪ Replying to @RealSaavedra
@RealSaavedra Here we go, one of many examples:
propublica.org/article/machin…
@AOC is 100% correct and there are many organizations across the world working on ways to mitigate bias in machine learning.
@RealSaavedra @AOC Algorithms are driven by computation, not by math.
joanna-bryson.blogspot.com/2017/07/three-…
@RealSaavedra @AOC A video based on @mathbabedotorg's talk may help out here: vimeo.com/thersa/thetrut…
She wrote a book aptly named Weapons of Math Destruction.
@RealSaavedra Hmmm, it seems even Amazon can't get it right... reuters.com/article/us-ama…
@RealSaavedra Here's one where Google apologized: theguardian.com/technology/201…
@RealSaavedra Google says: "Machine learning models are not inherently objective. Engineers train models by feeding them data sets of training examples, and human involvement in the provision and curation of this data can make a model's predictions susceptible to bias." developers.google.com/machine-learni…
Move slow and empower people.
(Yes I realize ”slowly” is more correct, but this rings better - freedom of expression and all that 😝)
Startups Embroiled in Debate Over Ethics of Facial Recognition — The Information
(email required to read) theinformation.com/articles/start…
The Era of “Move Fast and Break Things” Is Over.
”If innovation is to survive into the 21st century, we need to change how companies are built by changing the questions we ask of them.”
ht @beantin hbr.org/2019/01/the-er…
↪ Replying to @jmspool
@jmspool @uxpodcast Haha, thank you Jared! Also, I'm sure you'll say something controversial soon to get people riled up. Then you'll have to invite us over to work it all out on a live show ;)
↪ Replying to @sookio
@sookio Is there any chance that you've kept a hi-res version of this photo that I could get access to? :)
↪ Replying to @nickf
@nickf The realization that one does not have to be perfect, merely set aside time to adjust priorities once in a while, is the best.
When I started out in usability, user-centric implied for me "doing what's best for the user". I now understand that user-centric is understanding as much as possible about people for the purpose of imposing a solution on them.
Today I strive for human-considerate.
↪ Replying to @Tynell
@Tynell Yeah, it'd be a tough change overnight. I was forced into it just by the sheer amount, and my workload, and then came to realize waiting wasn't a problem.