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Palestinian boy mourns father killed in Israeli strike on security post

Al Jazeera

'This is an apartheid regime' A Palestinian boy mourns his father, one of three people killed in an Israeli strike on a security post in Gaza. The attack is part of ongoing Israeli violence, despite a fragile ceasefire, which has killed at least 846 Palestinians, according to Gaza's Health Ministry. Iran's president says he has spoken to the country's Supreme Leader

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Trump's DOJ Indicted the SPLC. His Supporters Are Already Looking for the Next Target.

Mother Jones

His Supporters Are Already Looking for the Next Target. "Grok has thoughts on who to look at next." Acting Attorney General Todd Blanche and FBI Director Kash Patel hold a press conference on their prosecution of the Southern Poverty Law Center on April 21, 2026. Get your news from a source that's not owned and controlled by oligarchs. The Justice Department this week announced criminal charges against the Southern Poverty Law Center, alleging that the longtime civil rights watchdog had defrauded its own donors by secretly paying large sums of money to informants within various hate groups.


Nonparametric Regression Discontinuity Designs with Survival Outcomes

Schuessler, Maximilian, Sverdrup, Erik, Tibshirani, Robert, Wager, Stefan

arXiv.org Machine Learning

Quasi-experimental evaluations are central for generating real-world causal evidence and complementing insights from randomized trials. The regression discontinuity design (RDD) is a quasi-experimental design that can be used to estimate the causal effect of treatments that are assigned based on a running variable crossing a threshold. Such threshold-based rules are ubiquitous in healthcare, where predictive and prognostic biomarkers frequently guide treatment decisions. However, standard RD estimators rely on complete outcome data, an assumption often violated in time-to-event analyses where censoring arises from loss to follow-up. To address this issue, we propose a nonparametric approach that leverages doubly robust censoring corrections and can be paired with existing RD estimators. Our approach can handle multiple survival endpoints, long follow-up times, and covariate-dependent variation in survival and censoring. We discuss the relevance of our approach across multiple areas of applications and demonstrate its usefulness through simulations and the prostate component of the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial where our new approach offers several advantages, including higher efficiency and robustness to misspecification. We have also developed an open-source software package, $\texttt{rdsurvival}$, for the $\texttt{R}$ language.


Off-Policy Evaluation and Learning for Survival Outcomes under Censoring

Kubota, Kohsuke, Takahashi, Mitsuhiro, Saito, Yuta

arXiv.org Machine Learning

Optimizing survival outcomes, such as patient survival or customer retention, is a critical objective in data-driven decision-making. Off-Policy Evaluation~(OPE) provides a powerful framework for assessing such decision-making policies using logged data alone, without the need for costly or risky online experiments in high-stakes applications. However, typical estimators are not designed to handle right-censored survival outcomes, as they ignore unobserved survival times beyond the censoring time, leading to systematic underestimation of the true policy performance. To address this issue, we propose a novel framework for OPE and Off-Policy Learning~(OPL) tailored for survival outcomes under censoring. Specifically, we introduce IPCW-IPS and IPCW-DR, which employ the Inverse Probability of Censoring Weighting technique to explicitly deal with censoring bias. We theoretically establish that our estimators are unbiased and that IPCW-DR achieves double robustness, ensuring consistency if either the propensity score or the outcome model is correct. Furthermore, we extend this framework to constrained OPL to optimize policy value under budget constraints. We demonstrate the effectiveness of our proposed methods through simulation studies and illustrate their practical impacts using public real-world data for both evaluation and learning tasks.


Digital blackface flourishes under Trump and AI: 'The state is bending reality'

The Guardian

Digital blackface flourishes under Trump and AI: 'The state is bending reality' Late last year, as a US government shutdown cut off the Snap benefits that low-income families rely on for groceries, videos on social media cast the fallout in frantic scenes. "Imma keep it real with you," a Black woman said in a viral TikTok post, "I get over $2,500 a month in stamps. I sell'em, $2,000 worth, for about $1,200-$1,500 cash." Another Black woman ranted about taxpayers' responsibility to her seven children with seven men, and yet another melted down after her food stamps were rejected at a corn-dog counter. Visible watermarks stamped some videos as AI-generated - apparently, too faintly for the racist commentators and hustlers more than happy to believe the frenzy was real.


bc218a0c656e49d4b086975a9c785f47-Supplemental-Datasets_and_Benchmarks.pdf

Neural Information Processing Systems

Emerging ethical approaches have attempted to filter pretraining material, but such approaches have been ad hoc and failed to take context into account. We offer an approach to filtering grounded in law, which has directly addressed the tradeoffs in filtering material.


Japan to revise economic security law to support projects abroad

The Japan Times

The government plans to submit a bill to revise the economic security promotion law during the current session of parliament that began on Wednesday. The Japanese government plans to revise the economic security promotion law to support companies with economic security-linked projects overseas. This will be the first revision of the law, established in 2022. The move comes amid a rapidly changing international environment, as the Ukraine-Russia war drags on and China continues to flex its economic muscle. Competition is also intensifying in the development of artificial intelligence and other cutting-edge technologies.




Jesse Jackson, civil rights icon, dies at age 84

Al Jazeera

US civil rights activist Jesse Jackson has died at age 84. From working alongside Martin Luther King Jr to running for president twice, he became one of the most influential black political figures in American history. Video: Humanoid robots take centre stage at China's Lunar New Year show Iran's Khamenei says US will not be able to destroy government

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