RT @[email protected]
Machine learning is increasingly being used globally by governments and companies to make or recommend decisions that have far-reaching effects on individuals, organizations, and society. Join us this Thursday where we cover the ACM TPC Principles https://www.acm.org/public-policy/ustpc/hottopics/algorithmic-responsibility
🐦🔗: https://twitter.com/AxSaucedo/status/1597900961967935490
Join a panel discussion on algorithmic responsibility in the new machine age
Algorithmic systems, often based on artificial intelligence, are increasingly being used globally by governments and companies to make or recommend decisions that have far-reaching effects on individuals, organizations, and society. While such systems hold the promise of making society more equitable, inclusive, and efficient, those results do not automatically flow from automation. Like decisions made by humans, machine-made ones can also fail to respect the rights of individuals and result in harmful discrimination and other negative effects. Join a panel of ACM experts—Ricardo Baeza-Yates, Lorena Jaume-Palasi, Jeanna Matthews, and Alejandro Saucedov—moderated by Technology Policy Council Chair Jim Hendler on Thursday 12/1 from 3–4:30pm EST for a transatlantic deep dive into the Council’s brand new Joint Statement on Principles for Responsible Algorithmic Systems and an exploration of the legal, ethical, and scientific implications of life in the new machine age.
RT @[email protected]
With 2 weeks to the Dec22 FOMC here's your hyperspeed recap of the Fed's monpol so far
🐦🔗: https://twitter.com/EffMktHype/status/1597534829100560385
RT @[email protected]
Chartbook #176 on protests in China. Some threads I have found useful on the protests, likely regime response and the very real dilemma of Beijing's policy. Zero covid is bad but so are the alternatives.
https://adamtooze.substack.com/p/chartbook-176-the-protests-in-china
🐦🔗: https://twitter.com/adam_tooze/status/1597295719991644161
Chartbook #176 The protests in China - a reading list
A round up of reading and twitter threads I have fond useful to understand the stakes in the wave of protests around China triggered by news of the fire-deaths in Urumqi, Xijniang. For news and images from China follow @whyyoutouzhele who is one of the most trusted sources of inside reports and footage from the protests.
🥀_Imposter_🕸️ on Twitter
“The 2 sides of the USA. He's got a solid point.”
RT @[email protected]
watch a 2 layer neural network learn to separate two classes to the left and right
🐦🔗: https://twitter.com/matthen2/status/1596821727878991873
Matt Henderson on Twitter
“watch a 2 layer neural network learn to separate two classes to the left and right”
Who’s to Blame for FTX?
https://bit.ly/3F2mCuC. - A Boston Review (moral philosophy) Reading List
RT @[email protected]
Today England play the USA in a historic match-up that needs little explanation.
To mark the occasion, we retrace relations between the two countries over the past 200 years: from the War of 1812, through to Beatlemania and James Bond.
Listen ⬇️
http://linktr.ee/restishistory
🐦🔗: https://twitter.com/TheRestHistory/status/1596045932818493441
The Rest Is History | Twitter | Linktree
View restishistory’s Linktree. Listen to their music on YouTube, Spotify here.
Stephen Bush on Twitter
“Wow, I sure hope no UK universities are over-leveraged anchor institutions that are dependent on foreign tuition to keep the lights on.”
RT @[email protected]
Very powerful from Jason Lee about how David Baddiel's racist bullying has affected him for over a quarter of a century
🐦🔗: https://twitter.com/jrc1921/status/1594606045976043522
j on Twitter
“Very powerful from Jason Lee about how David Baddiel's racist bullying has affected him for over a quarter of a century”
A message to David Beckham.
