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Jan 06, 20261 min read

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106 items under this folder.

Jan 03, 2026
Information Architecture: For the Web and Beyond
Jan 03, 2026
Alves et al. 2024
Jan 03, 2026
Modern Knowledge Engineering
Jan 03, 2026
Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
Jan 03, 2026
Current Population Survey (CPS)
Jan 03, 2026
BLS Occupational Employment and Wage Statistics (OEWS)
Jan 03, 2026
Occupational Requirements Survey
Jan 03, 2026
Standard Occupational Classification (SOC) System 2018
Jan 03, 2026
Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US
Jan 03, 2026
COFI Framework
Jan 03, 2026
Agentic AI Architectures
Jan 03, 2026
ESCO: European Skills, Competences, Qualifications and Occupations
Jan 03, 2026
EU AI Act (Regulation 2024/1689)
Jan 03, 2026
Evaluating Human-AI Collaboration: A Review and Methodological Framework
Jan 03, 2026
Knowledge Graphs for AI
Jan 03, 2026
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
Jan 03, 2026
Atomic Design
Jan 03, 2026
FATA Framework
Jan 03, 2026
RAG Evaluation Methods
Jan 03, 2026
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey
Jan 03, 2026
Human-AI Decision Making
Jan 03, 2026
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Jan 03, 2026
IBM Design for AI
Jan 03, 2026
Kevin Kelly
Jan 03, 2026
The Parable of Google Flu: Traps in Big Data Analysis
Jan 03, 2026
Regulatory Learning for AI
Jan 03, 2026
Mapping the Regulatory Learning Space for the EU AI Act
Jan 03, 2026
Li et al. 2024 - Understanding the Effects of Miscalibrated AI Confidence
Jan 03, 2026
LLMs for Ontology Engineering
Jan 03, 2026
Ontology Design Patterns for AI
Jan 03, 2026
How to Define the Quality of Data? A Feature-Based Literature Survey
Jan 03, 2026
A Unified Framework for Human–AI Collaboration in Security Operations Centers with Trusted Autonomy
Jan 03, 2026
North American Industry Classification System (NAICS) 2022
Jan 03, 2026
NIST AI 600-1: AI Risk Management Framework - Generative AI Profile
Jan 03, 2026
NIST AI Risk Management Framework (AI RMF 1.0)
Jan 03, 2026
The Knowledge-Creating Company
Jan 03, 2026
NTSB Automation and Human Performance
Jan 03, 2026
RAG Systematic Review
Jan 03, 2026
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions
Jan 03, 2026
Bias in AI Systems
Jan 03, 2026
O*NET OnLine and Content Model
Jan 03, 2026
AI Co-Creation Patterns
Jan 03, 2026
The Last Vote: A Multi-Stakeholder Framework for Language Model Governance
Jan 03, 2026
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
Jan 03, 2026
Everyone wants to do the model work, not the data work: Data Cascades in High-Stakes AI
Jan 03, 2026
The Prompt Report: A Systematic Survey of Prompting Techniques
Jan 03, 2026
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
Jan 03, 2026
Hidden Technical Debt in Machine Learning Systems
Jan 03, 2026
SEC SIC Code List
Jan 03, 2026
Retrieval-Augmented Generation: A Comprehensive Survey of Architectures, Enhancements, and Robustness Frontiers
Jan 03, 2026
Neuro-Symbolic AI Integration
Jan 03, 2026
Stanford HAI AI Index Report 2025
Jan 03, 2026
Data Quality Dimensions for AI
Jan 03, 2026
A Review of the Ethics of Artificial Intelligence and its Applications in the United States
Jan 03, 2026
Multi-Agent System Collaboration
Jan 03, 2026
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Jan 03, 2026
The Cognitive Style of PowerPoint
Jan 03, 2026
UNESCO Recommendation on the Ethics of AI
Jan 03, 2026
Knowledge Elicitation Methods
Jan 03, 2026
A Survey on Retrieval-Augmented Generation
Jan 03, 2026
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Jan 03, 2026
Philosophy of Machine Intelligence
Jan 03, 2026
Mechanistic Interpretability Needs Philosophy
Jan 03, 2026
Knowledge-Augmented Generation
Jan 03, 2026
Agile AI Development Index
Jan 03, 2026
AI Governance InternationaL Evaluation Index (AGILE Index) 2025
Jan 03, 2026
Tacit Knowledge in AI Systems
Jan 03, 2026
AI: From the Engine Room
Jan 02, 2026
Information Architecture for Organizations: An Ontological Approach
Jan 02, 2026
Software Engineering for Machine Learning: A Case Study
Jan 02, 2026
Basil et al 2025 - Persona Prompting
Jan 02, 2026
LLM-Empowered Knowledge Graph Construction: A Survey
Jan 02, 2026
Ontology Learning and Knowledge Graph Construction: A Comparison of Approaches and Their Impact on RAG Performance
Jan 02, 2026
Atomic Design
Jan 02, 2026
First Ask Then Answer: A Framework Design for AI Dialogue Based on Supplementary Questioning with Large Language Models
Jan 02, 2026
GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Jan 02, 2026
The 33 Strategies of War
Jan 02, 2026
The Impostor is Among Us: Can Large Language Models Capture the Complexity of Human Personas?
Jan 02, 2026
A Comprehensive Study on Dark Patterns
Jan 02, 2026
Ontology Generation using Large Language Models
Jan 02, 2026
Large Language Models as Oracles for Ontology Alignment
Jan 02, 2026
LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings
Jan 02, 2026
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning
Jan 02, 2026
Prompting Diverse Ideas: Increasing AI Idea Variance
Jan 02, 2026
Towards Practical GraphRAG: Efficient Knowledge Graph Construction and Hybrid Retrieval at Scale
Jan 02, 2026
Norouzi et al. 2025 – Semantic Representation of Processes with Ontology Design Patterns
Jan 02, 2026
Agentic AI in Product Management: A Co-Evolutionary Model
Jan 02, 2026
Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights
Jan 02, 2026
Sambasivan et al. 2021 — Data Cascades in High-Stakes AI
Jan 02, 2026
Hidden Technical Debt in Machine Learning Systems
Jan 02, 2026
Accelerating Knowledge Graph and Ontology Engineering with Large Language Models
Jan 02, 2026
Shneiderman 2020: Human-Centered AI
Jan 02, 2026
Sun & Wu 2025 — Systematizing LLM Persona Design
Jan 02, 2026
OntoRAG: Enhancing Question-Answering through Automated Ontology Derivation from Unstructured Knowledge Bases
Jan 02, 2026
Investigating Knowledge Elicitation Automation with Large Language Models
Jan 02, 2026
Attention Is All You Need
Jan 02, 2026
Data Annotation with Large Language Models: Lessons from a Large Empirical Evaluation
Jan 02, 2026
ReAct: Synergizing Reasoning and Acting in Language Models
Jan 02, 2026
Leveraging Large Language Models for Tacit Knowledge Discovery in Organizational Contexts
Jan 01, 2026
IDEO Method Cards
Jan 01, 2026
A Dynamic Theory of Organizational Knowledge Creation
Jan 01, 2026
Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
Jan 01, 2026
Historical Analogues That Can Inform AI Governance
Jan 01, 2026
Hats
Jan 01, 2026
Open Source Data Assets for Enterprise AI Enrichment
Jan 01, 2026
Constructing a Highlight Classifier with an Attention-based LSTM Neural Network

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