Opinion Columnist
Leila Grant writes about agency, access and the social choices embedded in technical systems. Her columns consider whose interests a technology serves and whose experience is absent from the debate. She combines an interest in possibility with close attention to power.
433 published articles · Showing 381–400
New research papers, published today on arXiv, signal a significant push for unprecedented speed and efficiency in AI's role in scientific discovery and simulation. Methods proposed across these works aim to accelerate everything from molecular modeling to quantum sensor developm...
Read article →The narrative of artificial intelligence as an inevitable, frictionless solution to complex societal problems is pervasive. It suggests a future where machines simply take over, solving everything....
Read article →New research published today on arXiv CS. AI lays bare the complex incentives driving artificial intelligence deployment, challenging the prevailing narrative of AI as an unmitigated boon....
Read article →Future innovators, the very students we task with building tomorrow’s intelligent systems, are not grasping the profound risks embedded in artificial intelligence. Recent research from arXiv CS....
Read article →On April 1, 2026, four distinct research papers emerged simultaneously from arXiv CS. AI, outlining rapid advancements in multimodal artificial intelligence....
Read article →New research published on arXiv CS. LG, dated March 31, 2026, details advancements in probabilistic modeling crucial for the next generation of AI systems....
Read article →Apple is taking the unusual and crucial step of releasing “backported” security patches for millions of iPhone users still running iOS 18, a move that provides critical protection against the spreading DarkSword hacking tool [Wired]. This decision, which allows users to remain on...
Read article →A quiet shift is underway in the bedrock of AI development, as new research directly confronts the high stakes of algorithmic decision-making. Recent papers from arXiv CS....
Read article →Two new research papers published today on arXiv CS. LG detail advanced AI techniques capable of significantly optimizing complex industrial processes and generating high-performance code with unprecedented efficiency....
Read article →When a machine is touted as 'autonomous,' the implication is clear: it operates independently. Yet, the reality of so-called robotaxis, vehicles promised to navigate our streets without human input, is becoming increasingly opaque....
Read article →New research published today on arXiv CS. AI exposes critical limitations in how artificial intelligence systems are evaluated for fairness and how bias is currently mitigated arXiv CS....
Read article →A quiet shift is underway in software development. AI coding agents are no longer just assistants; they are becoming autonomous contributors, capable of generating and refining code with unprecedented efficiency....
Read article →When an automated system dictates a life-altering outcome – a medical diagnosis, a loan approval, a prison sentence – we demand to know why. Yet, new research from arXiv CS....
Read article →New research published on arXiv CS. LG details a study into what predicts success in cybersecurity simulations, focusing on the concept of "instructional alignment" arXiv CS....
Read article →Today, three significant research papers were published on arXiv CS. AI, outlining new artificial intelligence algorithms aimed at enhancing data science across critical applications like credit scoring, anomaly detection, and high-dimensional data analysis....
Read article →The promise of artificial intelligence in high-stakes fields like healthcare is often heralded, but new research published on arXiv CS. AI reveals significant, unaddressed vulnerabilities concerning fairness, reliability, and even the subtle impact of conversational tone....
Read article →The European Union’s landmark AI Act is set to mandate dual transparency for AI-generated content by August 2026. Yet, a new arXiv paper reveals a stark reality: current generative AI systems face “fundamental constraints” that may make compliance impossible arXiv CS....
Read article →Imagine a small drone, barely audible, navigating a complex, congested airspace. Its movements are not directly controlled by a human joystick, but by an algorithm, fine-tuned using a large language model....
Read article →A new research pre-print published on arXiv details an advanced multi-modal approach for identifying special nuclear materials (SNM) using a combination of X-ray radiography, gamma-ray spectroscopy, and neutron multiplicity measurements arXiv CS. LG....
Read article →A flurry of new research, all published today, reveals a systemic crisis in the design and deployment of artificial intelligence agents. These studies highlight not just isolated bugs, but fundamental architectural vulnerabilities and pervasive ethical oversights that risk widesp...
Read article →