Category
2,752 papers
Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transparency. However, existing XAI methods typically assume input features to be inherently interpretable, or they rely on intermediate internal abstractions that are difficul...
AI is already writing a majority of code for frontier AI labs. This creates a safety risk if there is insufficient human oversight. Existing work proposes minimum comprehension thresholds and unaided checks to mitigate this. To our knowledge, however, there is currently no published frontier-AI assurance regime that re...
Generative AI speeds, and mostly improves, professional work, but there is concern that users who delegate both the production and the evaluation of an answer may accept weak output and engage less with the underlying reasoning (cognitive surrender). Interventions proposed so far, such as unassisted practice or slowing...
Human-machine systems rarely operate at a fixed level of AI autonomy. As operators and AI systems collaborate over time, control must shift: the AI can take on more responsibility when collaboration is stable, maintain its current role when evidence is ambiguous, or return control to the human when conditions deteriora...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Enterprise generative AI applications require robust safety mechanisms that can accommodate diverse risk postures, evolving policies, and varying latency constraints. Current guardrail solutions often suffer from rigidity, relying on fixed policy sets and offering limited transparency or reasoning flexibility. We prese...
Businesses today generate vast amounts of information through sales transactions, customer interactions, marketing campaigns, financial operations, websites and digital platforms. The challenge is no longer simply collecting this information. Organisations need professionals who can transform complex datasets into unde...
Banking and insurance institutions face increasing pressure to transform their business models through digital technologies while advancing sustainability objectives, yet existing research remains fragmented in explaining how digital innovation is translated into sustainable outcomes. This systematic review applies PRI...
This project develops a unified structural framework—Consistency Theory—for understanding how narrative worlds maintain coherence through the integration of anomalies, cognitive fluctuations, cultural distortions, and multi-directional causal structures. Rather than treating contradictions, gaps, or irregularities as f...
This mixed-methods study (N=201 UK undergraduates) identified a “well-being paradox” in AI-mediated learning. Contrary to expected outcomes, it found that greater reliance on generative AI tools for academic purposes was associated with higher academic well-being, especially positive emotion (β≈+0.33) and accomplishmen...
Water quality has emerged as a critical global concern that requires advanced monitoring and management strategies. Traditional water-quality assessment methods predominantly rely on laboratory-oriented analysis that are time consuming, expensive, and are often labor-intensive. This study presents a thorough overview o...
The chapter examines the effects of digitalization and artificial intelligence (AI) on human experience, understanding and healing. It compares the associated developments with the three major historical blows to humanity caused by scientific discoveries: the Copernican revolution, Darwin&s;s theory of evolution, and F...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
