The people warning us about AI are also building it
AI Summary
In mid-2026, rapid deployment of artificial intelligence across multiple sectors is generating both economic growth and labor market disruptions, with regulatory bodies introducing oversight measures, employers grappling with unintended effects on worker motivation, and researchers developing governance frameworks. Yet institutional responses remain slower than the pace of technological change.
Progressive: Progressive-leaning outlets emphasize AI-driven inequality, framing the technology as creating a stratified job market where benefits concentrate among high-skilled workers while others face displacement.
Moderate: Centrist outlets frame AI advancement as an economic opportunity requiring new verification and accountability mechanisms, presenting governance challenges as manageable through institutional adaptation.
Anthropic pushed for better safety protocols on AI.
Now it's getting a firsthand view of the impact that can have on a business. ...
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공식 발표 ↔ 진영별 보도
China’s AI outpaces global rivals but trails in trust, survey shows
Upstage bets on full home-grown AI stack as Korea pushes 'sovereign AI'
R&D institute 'to set the standards for safe AI use'
Agentic AI systems are doing more and more work. Now humans need to figure out how to verify it all
CNBC's The China Connection newsletter: Waiting for AI to lift the whole market
보도 없음
Chinese AI models roll out World Cup prediction features
World Cup predictions become new battleground for AI
Trust Between AI Agents: Measuring Formation, Breakage, and Recovery, with Implications for Governing Multi-Agent Systems
AI Engram: In Search of Memory Traces in Artificial Intelligence
A Formal Framework for Declarative Agentic AI in Business Process Analysis
APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI Agents
Towards End-to-End Automation of AI Research
Artificial Intelligence Index Report 2026
TrustedARI: Towards Trust-Native Agentic Routing Infrastructure for Agentic AI
AIChilles: Automatically Uncovering Hidden Weaknesses in AI-Evolved Systems
AI Pluralism and the Worlds It Misses
Architectural Wisdom: A Framework for Governing Optimization in AI Systems
When Agent Automation Becomes Profitable: Quantifying and Insuring Autonomous AI Risk through Trace-Economic Underwriting
The Integrator Advantage: Controlled Agentic AI for Small and Medium-Sized Companies
Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models
A Causal Model of Theory of Mind in Conflict for Artificial Intelligence
The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers
Agentomics: Economic Foundations for the Valuation, Attribution, and Pricing of AI Agents in Human-AI Workflows
A Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development
Resilient Consensus in Agentic AI
Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products
CmdNeedle: Measuring the Incompleteness of Command Denylists for AI Agents
Green SARC: Predictive Cost and Carbon Governance for Agentic AI Systems
How to Detect and Measure the AI Dangers to Democracy
Gaming-Resistant Insurance Contracts for Autonomous AI Agents: Strategy-Proof Toll Mechanism Design
Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
AI systems out-persuade expert humans
Using AI in engineering education: a balancing act, driven by clear purpose
Beyond Models: Reflections on Engineering AI-enabled Systems in a Project-Based Course
Computational Safety for Generative AI: A Hypothesis Testing Perspective
A Model-Free Universal AI
The Missing Knowledge Layer in Cognitive Architectures for AI Agents
Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework
Can We Stop Malicious AI? KILLBENCH: A Benchmark for External AI Kill Switch Feasibility
Can Artificial Intelligence Accelerate Technological Progress? Researchers' Perspectives on AI in Manufacturing and Materials Science
Critically Engaged Pragmatism: Scientific Norm and Social, Pragmatist Epistemology for AI Science Evaluation Tools
Sustainable Materials Discovery in the Era of Artificial Intelligence
Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
Trust Without Trusting: A Recomputable Trust Protocol for Autonomous Agents
AI as a Partner in Learning about, Doing, and Engaging with Science: Vigilance as the Key to Productive Augmentation
Chaining Tasks, Redefining Work: A Theory of AI Automation
U.S. Policies Unintentionally Accelerated China's Open AI Ecosystems
Unintended consequences: When AI backfires in the workplace for employees