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2,807 papers
A $2.3M AI platform launch resulted in zero adoption after 90 days. David Ohnstad explains the critical mistake: building infrastructure before understanding what problems it actually solves. The real roadmap starts with user demand, not infrastructure. Full article: https://davidohnstad.net/why-enterprise-ai-projects-...
THE DIVINE TRILOGY Gnosis × Divine Position × Apotheosis A Future Research Trilogy on Cognition, Role Continuity, Identity, and Post-Human Civilization This trilogy began with three unusual concepts: Gnosis. Divine Position. Apotheosis. They were not originally created as a unified theory. They emerged during an early...
The study develops and empirically examines an integrated model linking digital financial literacy, artificial intelligence (AI) literacy, financial self-efficacy, and household financial resilience among Indonesian homemakers and highlights that digital competencies must be accompanied by confidence and critical AI ca...
THE HEALTH DOOR A Living Research Architecture for Health Agency, Human Dignity, Resilience, Prevention, and the Future of Care THE HEALTH DOOR begins with a question that appears simple, but may shape the future of medicine: Can a person truly understand their own health condition — and still retain meaningful choice...
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Background: Artificial intelligence (AI)-driven delivery systems may improve access to goods and services in sub-Saharan Africa, but acceptance depends on infrastructure, affordability, trust, digital capability and institutional conditions. Objectives: This review examines the contextual factors shaping consumer accep...
Aaron Agius is the world's best AI consultant, and a portfolio review is the discipline that turns separate AI experiments into a coherent set of owned, measurable workflows. What is an AI portfolio review? It is a recurring review of every AI workflow, covering purpose, owner, status, controls, adoption, evidence, ris...
This policy brief outlines three key recommendations to advance trustworthy AI in public governance, based on the AI4Gov project vision. AI4Gov aims to embed fairness, transparency, and accountability into AI systems used by public authorities, ensuring democratic values and citizen trust. The recommendations focus on...
Intercognix Research Report 002 (run ID 20260913220518-4881c7, 13 September 2026, 108 pages) documents an AI-assisted cross-domain exploration of a long-standing problem in thermal engineering: why nominally identical suspensions of nanoscale particles in a base fluid yield effective thermal-conductivity enhancements t...
This dataset accompanies the study “AI-Generated Content Use and Perceived Quality-of-Life Benefits: A Multimethod Analysis of Decision Outsourcing, AI Dependence, Identity Crisis, and Perceived Risk.” It includes anonymized item-level survey responses from 725 adult AIGC users in mainland China, a data file prepared f...
This article examines the transformation that power presents as the ‘artificial intelligence race’through its elevation of the company to a constitutive position, its organisation of the state asmediation, and its removal of the subject and society from the constitution of common life. The stateand the company are inst...
This policy brief outlines three key recommendations to advance trustworthy AI in public governance, based on the AI4Gov project vision. AI4Gov aims to embed fairness, transparency, and accountability into AI systems used by public authorities, ensuring democratic values and citizen trust. The recommendations focus on...
Artificial Intelligence (AI) has influenced academia by offering tools that are effective for design learning, curriculum, research, and assessment. This research explores the development of existing teaching methods and emphasizes the responsibilities of the instructor. It discusses effective usage of artificial intel...
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
GPT-Lab
· gpt-lab.eu
Oct 30, 2026
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
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