Category
2,456 papers
It is often claimed that machine learning-based generative artificial intelligence (‘AI’) products will drastically streamline and reduce the cost of legal practice. This enthusiasm assumes lawyers can effectively manage AI’s risks. Cases in Australia and elsewhere in which lawyers have been reprimanded for submitting...
This repository contains the country-level replication materials for Validating National Indicators of Generative AI Use. The study evaluates national rank agreement, incremental predictive value, and work-use composition using Anthropic Economic Index indicators and separately produced survey and provider measures. Th...
Replication package for "The Institutional Window: How Contract Law Bounds Liability Signaling of Human Fallback Capability under Generative AI" (Bauer 2026). The paper asks when a liability commitment can still certify a provider's preserved human fallback capability once generative AI makes the output itself uninform...
Description The preceding papers in this series argued that explainability cannot ground accountability in probabilistic AI systems, that hallucination is the expected epistemic consequence of forced answer generation, and that accountable AI therefore requires a formal system language of non-decision, decision boundar...
Reach audiences
Advertise in front of researchers, engineers, and readers.
It is argued that expecting practitioners to bear ethical accountability for outcomes they cannot meaningfully influence is increasingly untenable, yet the practice of thinking otherwise—constructing alternative realities and engaging in self-authorship—remains available even when structural power is not.
ABSTRACT This research blog rethinks Learning Continuity in an educational environment increasingly shaped by generative artificial intelligence. It argues that continuity should not be judged only through access, attendance, course delivery, or academic output. A stronger test is whether learners retain, reconstruct,...
Purpose: A shared view of artificial intelligence (AI) research in aphasia is needed to locate related work across clinical and computing publications. This scoping review mapped research topics and connections, AI method families over time, and reported evaluation and participant characteristics relevant to clinical a...
The purpose of this article is to present a new method for preserving and promoting the scientific heritage of chemists: creation of an intelligent system (IS), based on artificial intellect (AI), for processing chemical literature, on the example of publications by Academician A. E. Favorsky. Libraries employ various...
BACKGROUND Motivational interviewing (MI) is a collaborative communication approach used to elicit autonomous motivation in health-related behavior change. Generative artificial intelligence (GenAI) provides new opportunities to deliver MI through conversational systems, but evidence on how these systems are designed,...
CADSA is a content-aware dynamic sparse attention framework that lowers the quadratic complexity of self-attention to sub-quadratic for lightweight edge AI deployment, and fine-tuning strategy with gradient masking decreases the training memory overhead by 60%, allowing for practical on-device fine-tuning.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
