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How AI Can Degrade Human Performance in High-Stakes Settings

Dane A. Morey

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Across disciplines, bad AI predictions have a surprising tendency to make human experts perform worse.

AI, human performance, safety-critical settings, Joint Activity Testing, human-AI collaboration, AI predictions, aviation safety, healthcare alarms, nuclear power plant control, algorithmic risk, AI oversight, cognitive systems engineering, safety frameworks, nurses study, resilient performance

How the EU's Code of Practice Advances AI Safety

Henry Papadatos

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The Code provides a powerful incentive to push frontier developers toward measurably safer practices.

EU Code of Practice, AI Act, AI safety, frontier AI models, risk management, systemic risks, 10^25 FLOPs threshold, external evaluation, transparency requirements, regulatory compliance, general-purpose models, European Union AI regulation, safety frameworks, risk modeling, policy enforcement

How US Export Controls Have (and Haven't) Curbed Chinese AI

Chris Miller

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Six years of export restrictions have given the U.S. a commanding lead in key dimensions of the AI competition — but it’s uncertain if the impact of these controls will persist.

chip, chips, china, chip export controls, China semiconductors, hardware, AI hardware policy, US technology restrictions, SMIC, Huawei Ascend, Nvidia H20, AI infrastructure, high-end lithography tools, EUV ban, domestic chipmaking, AI model development, technology trade, computing hardware, US-China relations

Nuclear Non-Proliferation Is the Wrong Framework for AI Governance

Michael C. Horowitz

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Placing AI in a nuclear framework inflates expectations and distracts from practical, sector-specific governance.

A Patchwork of State AI Regulation Is Bad. A Moratorium Is Worse.

Kristin O’Donoghue

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Congress is weighing a measure that would nullify thousands of state AI rules and bar new ones — upending federalism and halting the experiments that drive smarter policy.

ai regulation, state laws, federalism, congress, policy innovation, legislative measures, state vs federal, ai governance, legal framework, regulation moratorium, technology policy, experimental policy, state experimentation, federal oversight, ai policy development

Can Copyright Survive AI?

Laura González Salmerón

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Designed to protect human creativity, copyright law is under pressure from generative AI. Some experts question whether it has a future.

copyright, generative ai, ai, creativity, intellectual property, law, legal challenges, technology, digital rights, innovation, future of copyright, authorship, content creation, legal reform, copyright law, ai-generated content

Avoiding an AI Arms Race with Assurance Technologies

Nora Ammann

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A global race to build powerful AI is not inevitable. Here’s how technical solutions can help foster cooperation.

ai arms race, assurance technologies, ai cooperation, global ai development, technical solutions, ai safety, international collaboration, ethical ai, ai policy, ai governance, technology diplomacy, nuclear

We'll Be Arguing for Years Whether Large Language Models Can Make New Scientific Discoveries

Edward Parker

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ai, artificial intelligence, large language models, scientific discovery, digital intelligence, expert consensus, technology, innovation, society impact, machine learning, research, future of science, debate, ai capabilities, advancements in ai

The Case for AI Liability

Gabriel Weil

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Abandoning liability mechanisms risks creating a dangerous regulatory vacuum.

ai liability, regulatory vacuum, liability mechanisms, ai regulation, legal frameworks, technology accountability, risk management, artificial intelligence, governance, policy, ethical ai, tech industry, innovation, legal responsibility

What if Organizations Ran Themselves?

Gayan Benedict

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Autonomous AI-enabled organizations are increasingly plausible. They would fundamentally break the way we regulate the economy.

autonomous organizations, ai-enabled organizations, self-managing organizations, economic regulation, artificial intelligence, future of work, organizational structure, automation, technology in business, decentralized management, ai in economics, innovation, business transformation, nuclear

How AI Can Prevent Blackouts

David 'davidad' Dalrymple

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For safety-critical domains like energy grids, "probably safe" isn't good enough. To fulfill the potential of AI in these areas, we need to develop more robust, mathematical guarantees of safety.

ai, energy grids, blackout prevention, safety-critical domains, mathematical guarantees, robust ai, infrastructure safety, power systems, risk management, smart grids, technology in energy, ai safety, nuclear

We're Not Ready for AI Liability

Kevin Frazier

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In the absence of federal legislation, the burden of managing AI risks has fallen to judges and state legislators — actors lacking the tools needed to ensure consistency, enforceability, or fairness.

ai liability, federal legislation, ai risks, judges, state legislators, legal challenges, consistency, enforceability, fairness, regulation, technology policy, artificial intelligence, legal framework, risk management, governance, state laws, judicial responsibility

A Glimpse into the Future of AI Companions

Vanessa Bates Ramirez

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AI is increasingly being used for emotional support — but research from OpenAI and MIT raises concerns that it may leave some users feeling even worse.

ai companions, emotional support, openai, mit, mental health, technology, future of ai, ethical concerns, user experience, psychological impact, artificial intelligence, digital companionship, ai ethics, emotional well-being, human-ai interaction

How AI Is Eroding the Norms of War

David Kirichenko

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An unchecked autonomous arms race is eroding rules that distinguish civilians from combatants.

ai, autonomous weapons, arms race, warfare norms, civilian protection, military ethics, combatants, war technology, international law, defense policy, unmanned systems, ethical concerns, artificial intelligence, conflict dynamics, security challenges, nuclear

Today's AIs Aren't Paperclip Maximizers. That Doesn't Mean They're Not Risky

Peter N. Salib

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Classic arguments about AI risk imagined AIs pursuing arbitrary and hard-to-comprehend goals. Large Language Models aren't like that, but they pose risks of their own.

ai risk, paperclip maximizer, large language models, ai goals, ai safety, ai ethics, ai threats, ai behavior, ai development, technology risks, artificial intelligence, machine learning, ai impacts, existential risk, ai governance

Can “Location Verification” Stop AI Chip Smuggling?

Scott J Mulligan

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US lawmakers propose a new system to check where chips end up.

ai chip smuggling, location verification, us lawmakers, chip tracking, technology regulation, semiconductor industry, export control, national security, supply chain monitoring, tech policy, chip distribution, international trade, compliance technology

The Misguided Quest for Mechanistic AI Interpretability

Dan Hendrycks

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Despite years of effort, mechanistic interpretability has failed to provide insight into AI behavior — the result of a flawed foundational assumption.

mechanistic interpretability, ai behavior, ai transparency, ai ethics, machine learning, flawed assumptions, ai research, ai analysis, ai limitations, ai insights

We’re Arguing About AI Safety Wrong

Helen Toner

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Dynamism vs. stasis is a clearer lens for criticizing controversial AI safety prescriptions.

ai safety, ai ethics, dynamism, stasis, artificial intelligence, technology criticism, safety prescriptions, ai development, risk assessment, innovation vs regulation, tech debate, ai policy, future of ai

Can the US Prevent AGI from Being Stolen?

Philip Tschirhart

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Securing AI weights from foreign adversaries would require a level of security never seen before.

artificial general intelligence, agi, ai security, cybersecurity, national security, us defense, intellectual property, technology theft, foreign adversaries, ai research, ai ethics, ai governance, data protection, tech policy, ai innovation, nuclear

AI Companies Want to Give You a New Job. Your Team? A Million AIs.

Vanessa Bates Ramirez

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AI Frontiers spoke with leading researchers and a CEO building AI agents to explore how AI will reshape work—and whether the jobs of the future are ones we’ll actually want.

ai, future of work, automation, ai companies, job transformation, ai researchers, ai agents, workplace innovation, employment trends, ai impact, digital workforce, technology and jobs, ai in business, ai ceo, ai frontier

America First Meets Safety First

Miles Brundage

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President Trump vowed to be a peacemaker. Striking an “AI deal” with China could define global security and his legacy.

america first, safety first, president trump, peacemaker, china, ai safety, global security, international relations, diplomacy, legacy, artificial intelligence, us-china relations, geopolitics, technology policy, nuclear

AIs Are Disseminating Expert-Level Virology Skills

Dan Hendrycks

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New research shows frontier models outperform human scientists in troubleshooting virology procedures—lowering barriers to the development of biological weapons.

ai, virology, biological weapons, research, frontier models, bio lab, artificial intelligence, expert-level skills, human scientists, biosecurity, technology, laboratory tasks, scientific innovation

Smokescreen: How Bad Evidence Is Used to Prevent AI Safety

Laura Hiscott

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Corporate capture of AI research—echoing the days of Big Tobacco—thwarts sensible policymaking.

ai safety, bad evidence, ai policy, flawed benchmarks, corporate influence, transparency, accountability, safety data, research environment, structural reforms, trustworthy data, ai research, evidence-based policy

We Need a New Kind of Insurance for AI Job Loss

Kevin Frazier

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AI is poised to leave a lot of us unemployed. We need to rethink social welfare.

ai job loss, social insurance, ai displacement, future of work, automation, labor market, economic policy, job displacement, workforce adaptation, technology impact, unemployment, us economy, ai policy, social safety net, employment insurance

Exporting H20 Chips to China Undermines America’s AI Edge

Jason Hausenloy

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Continued sales of advanced AI chips allow China to deploy AI at massive scale.

ai, china, h20 chips, advanced gpus, technology export, global ai race, us-china relations, semiconductor industry, technology policy, national security, america's ai edge, trade restrictions, tech competition, geopolitical tension

How Applying Abundance Thinking to AI Can Help Us Flourish

Kevin Frazier

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Realizing AI’s full potential requires designing for opportunity—not just guarding against risk.

abundance thinking, ai, artificial intelligence, potential, hope, fear, positive mindset, growth, technology, innovation, future, opportunities, human flourishing, optimistic outlook

Why Racing to Artificial Superintelligence Would Undermine America’s National Security

Corin Katzke

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Rather than rushing toward catastrophe, the US and China should recognize their shared interest in avoiding an ASI race.

artificial superintelligence, ASI, national security, US-China relations, technology race, AI ethics, global cooperation, AI policy, security risks, international relations, technological competition, AI development, strategic interests, AI governance, catastrophic risk, nuclear

AI Risk Management Can Learn a Lot From Other Industries

Malcolm Murray

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AI risk may have unique elements, but there is still a lot to be learned from cybersecurity, enterprise, financial, and environmental risk management.

ai, risk management, cybersecurity, enterprise risk, financial risk, environmental risk, industry comparison, best practices, risk mitigation, technology, innovation, safety protocols, governance, compliance, regulations, nuclear

Can We Stop Bad Actors From Manipulating AI?

Andy Zou

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AI is naturally prone to being tricked into behaving badly, but researchers are working hard to patch that weakness.

ai security, adversarial attacks, machine learning, ai ethics, cybersecurity, ai manipulation, bad actors, ai vulnerabilities, defense mechanisms, ai research, algorithmic bias, ethical ai, ai safety, trust in ai

The Challenges of Governing AI Agents

Noam Kolt

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Autonomous systems are being rapidly deployed, but governance efforts are still in their infancy.

ai governance, autonomous systems, ai deployment, regulatory challenges, ethical ai, ai policy, technology governance, ai ethics, ai regulation, autonomous agents, ai oversight, responsible ai, ai safety, emerging technologies, ai accountability

Welcome to AI Frontiers

The AI Frontiers Editorial Board

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ai, artificial intelligence, machine learning, technology, innovation, future, data science, ai development, ai research, ai trends, automation, deep learning

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The views expressed in our articles reflect the perspectives of individual authors, not necessarily those of the editors or the publication as a whole. Our editorial team values intellectual variety and believes that AI is a complex topic demanding a range of viewpoints, carefully considered.

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