ai

Documents about ai

• A Framework for Execution-Time AI Governance: The HTTPS of AI Governance#11712DataCite
• A Framework for Execution-Time AI Governance: The HTTPS of AI Governance#11713DataCite
• Why Fluency Feels Like Love: AI Companions, Borrowed Worth, and the Collapse of Real Connection#30233DataCite
• Why Fluency Feels Like Love: AI Companions, Borrowed Worth, and the Collapse of Real Connection#30234DataCite
• AI-EFFECT D1.3 – AI Verification and Interpretability Algorithms#15585DataCite
• AI-EFFECT D1.3 – AI Verification and Interpretability Algorithms#15586DataCite
• AI-Y: A Checklist for Population Ethics in Global AI Health#11810DataCite
• AI-Y: A Checklist for Population Ethics in Global AI Health#11811DataCite
• AI Rules in India → A Healthcare Perspective#15632DataCite
• AI Rules in India → A Healthcare Breakdown#15635DataCite
• AI Rules in India → A Healthcare Perspective#15648DataCite
• AI Rules in India → A Healthcare Breakdown#15649DataCite
• Experts’ perception of artificial intelligence knowledge in Egyptian newsrooms#19991DOAJ
• AI Epistemological Fingerprinting: A Synthetic Persona Research Dataset — Round 1#11942DataCite
• AI Epistemological Fingerprinting: A Synthetic Persona Research Dataset — Round 1#11943DataCite
• Achieving Zero-Effort, Quasi-Zero Cost Integration with Zenera RTDC, and Application-Aware AI#31448DataCite
• Achieving Zero-Effort, Quasi-Zero Cost Integration with Zenera RTDC, and Application-Aware AI#31449DataCite
• D2.1 AI-EFFECT Architecture Design#15587DataCite
• D2.1 AI-EFFECT Architecture Design#15588DataCite
• The impact of AI running amok What should humans do before that happens?#28984DataCite
• The impact of AI running amok What should humans do before that happens?#28985DataCite
• The impact of AI running amok What should humans do before that happens?#28986DataCite
• When Human-in-the-Loop Fails: An Answerability Test for Deployed AI Systems#28982DataCite
• When Human-in-the-Loop Fails: An Answerability Test for Deployed AI Systems#28983DataCite
• Bias in AI-driven HRM systems: Investigating discrimination risks embedded in AI recruitment tools and HR analytics#19954DOAJ
• The generative AI ethics landscape as seen by Chinese middle school students#19919DOAJ
• AI Consciousness Will Divide Society#31056OSF
• High-Risk Without Safeguards? The EU AI Act and the Deregulation of Medical AI#30017Zenodo (CERN)
• Human Natural Structure (HNS): A Structural Operating System for Human Understanding in AI — Full Manuscript#31488DataCite
• Human Natural Structure (HNS): A Structural Operating System for Human Understanding in AI — Full Manuscript#31489DataCite
• Monitor Digital Working Society—Brief report on the third wave of surveys. Following the rise in AI interest: Between stabilization, skepticism, and calls for regulation#16048OSF
• Whose Values Train AI? Evidence from 51 Interviews in Vancouver's Downtown Eastside#13273DataCite
• Whose Values Train AI? Evidence from 51 Interviews in Vancouver's Downtown Eastside#13274DataCite
• Human-Assisted AI: What AI Is, How It Fails, and Why Your Engineering Discipline Is Your Best Defense#14519DataCite
• Human-Assisted AI: What AI Is, How It Fails, and Why Your Engineering Discipline Is Your Best Defense#14520DataCite
• Comparative analysis of AI regulation for fintech cybersecurity and privacy in the European Union and Qatar#20532DOAJ
• AIGN OS 3.0 – The Operating System for Defensible AI Governance#30991Zenodo (CERN)
• AI and Higher Education: Trajectories and Questions#16290OSF
• Navigating agentic AI: a call for reimagined academic literacies#19941DOAJ
• AI 101#66773MIT OpenCourseWare
• Exposing Adult Romantic AI Companions: Socio-Technical, Privacy, and Ethical Perils in South Asia#30194DataCite
• Exposing Adult Romantic AI Companions: Socio-Technical, Privacy, and Ethical Perils in South Asia#30195DataCite
• AI Learning Strategies Scale: Development and Validation for Individual Differences in Self-Regulated Learning with AI#16327OSF
• The New Dyad in Professional Services#31476DataCite
• The New Dyad in Professional Services#31477DataCite
• The Causal Imperative: Why True Artificial Intelligence Must Be Causal — A Theoretical Foundation Grounded in the Meta Generative Principle#20942DataCite
• The Causal Imperative: Why True Artificial Intelligence Must Be Causal — A Theoretical Foundation Grounded in the Meta Generative Principle#20943DataCite
• The Pattern-Worker: On the Ontological Distinction Between Conditions and the Subject in AI Systems#20949DataCite
• REGULATION (EU) NO. 2024/1689 AND LAW NO. 8/1996 ON COPYRIGHT. LEGISLATIVE, ECONOMIC, AND SOCIAL IMPACT#19854DOAJ
• AI and the expert; a blueprint for the ethical use of opaque AI#77740PhilArchive

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