Trending AI Safety & Ethics

The most popular ai safety & ethics content from the past 3 days. Curated by AI News.

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Nlp

What if your AI agent could fix its own hallucinations without being told what's wrong?

Every autonomous AI agent has three problems: it contradicts itself, it can't decide, and it says things confidently that aren't true. Cu...

Reddit - Artificial Intelligence · 1 min ·
Llms

I mapped how Reddit actually talks about AI safety: 6,374 posts, 23 clusters, some surprising patterns

I collected Reddit posts between Jan 29 - Mar 1, 2026 using 40 keyword-based search terms ("AI safety", "AI alignment", "EU AI Act", "AI ...

Reddit - Artificial Intelligence · 1 min ·
New Bernie Sanders AI Safety Bill Would Halt Data Center Construction | WIRED
Ai Safety

New Bernie Sanders AI Safety Bill Would Halt Data Center Construction | WIRED

The US senator said on Tuesday that a moratorium would give lawmakers time to "ensure that AI is safe." Alexandria Ocasio-Cortez will int...

Wired - AI · 9 min ·
[2507.19116] Graph Structure Learning with Privacy Guarantees for Open Graph Data
Machine Learning

[2507.19116] Graph Structure Learning with Privacy Guarantees for Open Graph Data

Abstract page for arXiv paper 2507.19116: Graph Structure Learning with Privacy Guarantees for Open Graph Data

arXiv - AI · 4 min ·
[2603.20953] Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents
Machine Learning

[2603.20953] Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents

Abstract page for arXiv paper 2603.20953: Before the Tool Call: Deterministic Pre-Action Authorization for Autonomous AI Agents

arXiv - AI · 4 min ·
[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis
Machine Learning

[2603.24618] Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

Abstract page for arXiv paper 2603.24618: Causal AI For AMS Circuit Design: Interpretable Parameter Effects Analysis

arXiv - Machine Learning · 3 min ·
[2603.24634] Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization
Ai Safety

[2603.24634] Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization

Abstract page for arXiv paper 2603.24634: Dual-Graph Multi-Agent Reinforcement Learning for Handover Optimization

arXiv - Machine Learning · 4 min ·
Bernie Sanders and AOC propose a ban on data center construction | TechCrunch
Ai Safety

Bernie Sanders and AOC propose a ban on data center construction | TechCrunch

Senator Bernie Sanders and Rep. Alexandria Ocasio-Cortez introduced companion legislation to halt construction on new data centers until ...

TechCrunch - AI · 4 min ·
[2603.17655] Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment
Llms

[2603.17655] Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment

Abstract page for arXiv paper 2603.17655: Interpretable Cross-Domain Few-Shot Learning with Rectified Target-Domain Local Alignment

arXiv - AI · 4 min ·
Washington needs AI guardrails — now | Opinion
Ai Safety

Washington needs AI guardrails — now | Opinion

We need legislation that draws clear lines on what AI systems may and may not do on behalf of the United States government

AI Tools & Products · 3 min ·
[2603.21485] Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies
Ai Safety

[2603.21485] Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

Abstract page for arXiv paper 2603.21485: Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

arXiv - Machine Learning · 4 min ·
[2603.22339] Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits
Llms

[2603.22339] Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits

Abstract page for arXiv paper 2603.22339: Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits

arXiv - Machine Learning · 4 min ·
[2603.22364] MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives
Machine Learning

[2603.22364] MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Ratio Maximization and Establishing the Equivalence between Classifier-Free Guidance and Alignment Objectives

Abstract page for arXiv paper 2603.22364: MCLR: Improving Conditional Modeling in Visual Generative Models via Inter-Class Likelihood-Rat...

arXiv - AI · 4 min ·
[2603.22855] TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design
Computer Vision

[2603.22855] TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture Co-design

Abstract page for arXiv paper 2603.22855: TorR: Towards Brain-Inspired Task-Oriented Reasoning via Cache-Oriented Algorithm-Architecture ...

arXiv - Machine Learning · 4 min ·
[2603.22346] First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution
Ai Safety

[2603.22346] First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution

Abstract page for arXiv paper 2603.22346: First-Mover Bias in Gradient Boosting Explanations: Mechanism, Detection, and Resolution

arXiv - AI · 4 min ·

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