New: Turns out excluding job applicants by age and gender on Facebook is indeed illegal in the eyes of the EEOC. https://t.co/GIlSvUDVM2
— Ariana Tobin (@Ariana_Tobin) September 25, 2019
New: Turns out excluding job applicants by age and gender on Facebook is indeed illegal in the eyes of the EEOC. https://t.co/GIlSvUDVM2
— Ariana Tobin (@Ariana_Tobin) September 25, 2019
“Megvii’s filing mentions police use of its technology but not Xinjiang or algorithms that try to detect ethnicity. It presents case studies that make its surveillance offerings sound more cuddly, such as a patent to identify dogs from their nose prints.” https://t.co/T2O0tVMoaF
— hardmaru (@hardmaru) September 21, 2019
So ImageNet Roulette happened. Made w @trevorpaglen & @wiretapped to look behind the curtain of training data, we’ve been amazed to see how much the public and AI community engaged. We’ll keep it online for a week, then it returns to a video installation. https://t.co/jt2eejvIKJ pic.twitter.com/bDAKx29adK
— Kate Crawford (@katecrawford) September 20, 2019
Ah, of course it's been done🙂
— Arvind Narayanan (@random_walker) September 19, 2019
I've just been reminded that:
Floodwatch did this long ago but ran out of funding: https://t.co/HLVTDeCNRh
Mozilla built this for FB ads but shut down by FB: https://t.co/WOLy0T6RWt
AdAnalyst is a similar tool (also FB only): https://t.co/wT07cci1JZ
We've fine-tuned GPT-2 using human feedback for tasks such as summarizing articles, matching the preferences of human labelers (if not always our own). We're hoping this brings safety methods closer to machines learning values by talking with humans. https://t.co/ok9jeMP5zj
— OpenAI (@OpenAI) September 19, 2019
This is an important legal case. The first I'm aware of that specifically calls out Facebook's optimization engine for discrimination rather than placing the blame on advertisers.https://t.co/zXYITnm3sw
— Cathy O'Neil (@mathbabedotorg) September 18, 2019
"The moral case for intervention is only as strong as the practicality of the mission itself. There is no moral case for doing something you’re not able to do." @NewYorker Dexter Filkins on "The Moral Logic of Humanitarian Intervention" https://t.co/F2MrJR5Scu
— Stuart Campo (@stucampo) September 12, 2019
This report analyzes the limitations of FAT (Fairness, Accountability, & Transparency) and normative ethics approaches, and how a human rights based approach could strengthen them:https://t.co/VMN6eL7FSN
— Rachel Thomas (@math_rachel) September 12, 2019
If you are failing at “regular” ethics, you won’t be able to embody AI ethics either. The two are not separate.
— Rachel Thomas (@math_rachel) September 10, 2019
https://t.co/FI085hle0P pic.twitter.com/rqkBu2UGO0
Chris covers this in more depth in his Data: Past, Present, & Future course. In particular, see Lecture 12 on the outcry to the Tuskegee Syphilis Trial leading to new standards for human subject research:https://t.co/4UrPBed5tV
— Rachel Thomas (@math_rachel) September 10, 2019
I just saw this paper. It's literally DeOldify. Yet no mention. I know this likeness is not a coincidence because I talked to one of the authors about it months ago before it went up. I won't name names. https://t.co/cgViEFKjdO
— Jason Antic (@citnaj) August 31, 2019
What Sci-Fi Can Teach Computer Science About Ethics-- interesting article with quotes from @cfiesler @EmanuelleBurton @JudyGoldsmith9 on their approaches to teaching CS ethicshttps://t.co/wVJyr4aTnQ
— Rachel Thomas (@math_rachel) August 30, 2019