Law
Counterfactual Fairness
Matt J. Kusner, Joshua Loftus, Chris Russell, Ricardo Silva
In large part, the literature has focused on formalizing fairness into quantitative definitions and using them to solve a discrimination problem in a certain dataset.
Fair Clustering Through Fairlets
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii
Neural Information Processing Systems http://nips.cc/
A 100 Million AI Super PAC Targeted New York Democrat Alex Bores. He Thinks It Backfired
Leading the Future said it will spend millions to keep Alex Bores out of Congress. It might be helping him instead. It turns out that when an AI-friendly super PAC with $100 million in backing from Silicon Valley bigwigs identifies you as its first target, it ends up generating a lot of attention. "I want to thank [the PAC] for their partnership in raising up the issue of how we regulate an incredibly powerful technology so that the future is one that benefits all of us," says Alex Bores, a New York Assembly member and Democratic congressional candidate, in an interview with WIRED. "I couldn't imagine a better partner this week."
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez, Krishna Gummadi, Adrian Weller
As a result, the use of group-conditional decision making systems is often prohibited.
A Viral Chinese Wristband Claims to Zap You Awake. The Public Says 'No Thanks'
The Public Says'No Thanks' The maker of the eCoffee Energyband says it electrically stimulates your nerves to keep you alert. Researchers are skeptical, and critics see it as a way for China's bosses to keep workers productive. Forget coffee, you can now stay alert by strapping on a wristband that lightly zaps you awake. That's what eCoffee Energyband, a Chinese gadget that sells for just over $100, is claiming to do. First released in late 2023, the product is a lightweight wearable with two electrode pads that sit against the inner wrist.
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Eric Price, Nati Srebro
We enourage readers to consult the more complete manuscript on the arXiv.
Recycling Privileged Learning and Distribution Matching for Fairness
Novi Quadrianto, Viktoriia Sharmanska
Machine learning technologies have permeated everyday life and it is common nowadays that an automated system makes decisions for/about us, such as who is going to get bank credit.
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
Chris Russell, Matt J. Kusner, Joshua Loftus, Ricardo Silva
Machine learning is now being used to make crucial decisions about people's lives.
Threshold Bandits, With and Without Censored Feedback
Jacob D. Abernethy, Kareem Amin, Ruihao Zhu
We consider the Threshold Bandit setting, a variant of the classical multi-armed bandit problem in which the reward on each round depends on a piece of side information known as a threshold value .
Asia tech stocks tumble on AI bubble fears
Japanese and South Korean tech stocks tumbled Friday, with Softbank falling over 10% amid AI bubble concerns. HONG KONG - Japanese and South Korean tech stocks plummeted on Friday, with tech investor SoftBank plunging more than 10% as fears over an AI bubble weighed on the market. The selling followed a downbeat session on Wall Street after U.S. jobs data clouded hopes of further interest rate cuts and fears about whether red-hot valuations for artificial intelligence shares are justified. Seoul's benchmark Kospi index was trading down nearly 4%, while Tokyo's Nikkei index shed 2.3% in morning trade. In a time of both misinformation and too much information, quality journalism is more crucial than ever.