AI-enabled human rights monitoring
— hardmaru 😷 (@hardmaru) October 18, 2019
A study of potential impact that ML could have on the field of Human Rights Monitoring, written by folks at @element_ai and @amnesty.
paper → https://t.co/uXrgWmPf7O
blog post → https://t.co/srytqukWB8 pic.twitter.com/CROvXE30go
I feel this story is important, because these firms have deep connections with international research and investment communities. See:
— hardmaru 😷 (@hardmaru) October 8, 2019
MIT CSAIL partners with SenseTime, iFlyTek providing tech for Xinjiang https://t.co/QsgeVdaCR1
Sensetime gets out of JV https://t.co/oKGvUrp633 pic.twitter.com/P0mItCGKU5
"The gig economy's biggest problem isn't about tech - it's the business model." Bhairavi Desai has been representing 'shadow workforces' for decades, but it's getting much worse - both in terms of poverty and suicide. @kschwabable https://t.co/JYq9avHucN
— Kate Crawford (@katecrawford) October 7, 2019
Zuckerberg 2016: "the idea that fake news on Facebook swung the election is pretty crazy"
— Guillaume Chaslot (@gchaslot) October 7, 2019
Zuckerberg 2019: "If you wanna swing an election, we're there for you" https://t.co/OL0GL5hSzY
I think I've seen enough about @Datacamp now. This is an excellent thread. https://t.co/HFVTRwVrOv
— Frank Harrell (@f2harrell) October 5, 2019
This is awful misuse of ML tech in the UK. I prefer the alternative distributed approach of engaging with education, coaching young people to reach their full potential, and having a long interview with several people. Going for cheaper alternatives is freeloading and reckless. https://t.co/KCmT5HDDrr
— Nando de Freitas (@NandoDF) October 2, 2019
Google Assistant/Reserve With Google is causing severe damage to restaurants and is eroding the trust of restaurant guests. This needs to stop. A thread: pic.twitter.com/6cngYvFHEO
— Brian Fitz🦇rick (@therealfitz) September 30, 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
— hardmaru (@hardmaru) September 28, 2019
Because “Automatic news comment generation is beneficial for real applications but has not attracted enough attention from the research community” ... 🤔https://t.co/XgKOUkNZa8 https://t.co/SQJwRMubxm pic.twitter.com/4PthVEmyfW
The first paper looked at Roku and Amazon Fire TV. These platforms let you subscribe to “channels”, which are basically apps. As you can guess, they are loaded with trackers. Doubleclick alone is on 97.5% of Roku channels. https://t.co/5R5XYzJbBU pic.twitter.com/gGphX2sPwd
— Arvind Narayanan (@random_walker) September 27, 2019
Very good piece, this article worth a read:
— hardmaru (@hardmaru) September 26, 2019
“Thousands of videos from Xinjiang, filmed by both Uyghur and Han Chinese users, are uploaded every day to Chinese TikTok. The sheer volume of videos makes it difficult for the authorities to censor everything.” https://t.co/4ofWwrXMu1
Mining TikTok for the sole purpose of seeing inside a police state is an unorthodox use of the app. Once activists got inside the firewall to access TikTok, they then have to “teach” the app’s algorithm to show them videos they want to see. “You have to train it in a certain way” https://t.co/cgteT7iFKM
— hardmaru (@hardmaru) September 26, 2019
Algorithmic Colonialism, by @ruchowdh. Fascinating talk incorporating history, political science, the paradox of plenty, data-driven tech, and current investments in surveillance tech in Africa https://t.co/AE0OMseKlj
— Rachel Thomas (@math_rachel) September 26, 2019
