My fellow engineers: grow a goddamn ethical backbone. "This is inevitable because someone else will do it" doesn't mean that *you* have to personally contribute to it, and if all of us decline, then it won't happen and isn't inevitable. https://t.co/TQWqBiltLa
— Liz Fong-Jones (@lizthegrey) May 30, 2018
“Algorithms may not care about equal employment opportunities, but our civil rights laws require it,” says lawyer in case filed after our reporting on employers who targeted Facebook job ads only to young workers. https://t.co/b6yEKNUdCK
— Julia Angwin (@JuliaAngwin) May 30, 2018
High Time to Regulate #FaceRecognition #AI @IntuitMachine https://t.co/q5dNDoh55Y pic.twitter.com/UZiLJeMDl8
— KDnuggets (@kdnuggets) May 31, 2018
These amazing students are working hard to make sure that AI is developed safely and responsibly https://t.co/R1edU9X5Da
— Ian Goodfellow (@goodfellow_ian) May 31, 2018
Here's an age discrimination lawsuit filed against IBM last week in Texas: https://t.co/LA9OHhPlQc
— Ariana Tobin (@Ariana_Tobin) May 31, 2018
Many many more examples of the company's marketing efforts toward Millennials, which was just a piece of our story (https://t.co/ACGiwPMjsa)
Attempts to force ML models to give equal positive outcomes to e.g. men/women, end up ‘making up the numbers’ with weird effects; e.g. hurting women who are similar to men and men who are similar to women. (paper from @zacharylipton @achould & McAuley https://t.co/HnMeAM4IGo) pic.twitter.com/3PAGKQpx7b
— Reuben Binns (@RDBinns) June 13, 2018
My @QConAI keynote on "Analyzing and Addressing Bias in AI" is now online: https://t.co/dYnGt6OihT
— Rachel Thomas (@math_rachel) June 13, 2018
Last week I wanted to ask "how long will it take for morality and ethicality to be dismissed by using the shield of patriotism":
— Smerity (@Smerity) June 13, 2018
"[T]he goal for our contribution to Project Maven — to save the lives of soldiers and civilians alike— is unequivocally aligned with our mission."
A while back an engineer tweeted in terror that they found their code deployed in a medical application when they had never architected it for that level of reliability.
— Smerity (@Smerity) June 13, 2018
Imagine that situation but finding your code was part of a pipeline with a bullet or missile at the end of it.
If you’re looking for work in AI, machine learning, or any kind of tech, here is a company to AVOID.
— Daniel Lowd (@dlowd) June 14, 2018
If you already work for @ThompsonReuters, now is the time to speak up for ethics and humanity.
Don’t be like pre-WWII IBM, building counting machines for Nazis. https://t.co/yo0AWfvjNf
