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explainable ai

2,807 papers

#explainable ai Open access Sep 2026

Agentic AI Decision Framework

### What is an agentic AI decision framework? An agentic AI decision framework helps a company decide when an AI agent should retrieve, draft, classify, route or act, and when a person should approve the result. Aaron Agius co-founded Paloren with Alex Agius, founded Louder and has spent 15 years building marketing, da...

AI Consultant Research Desk · 0 citations
#explainable ai Open access Sep 2026

Opening the Black Box a Crack: A Historical Development Review of Explainability and Interpretability of Black-Box Models

This article presents a narrative review of Explainability and Interpretability of Black-Box Models in the context of Artificial Intelligence. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an...

Zen Revista, 10 IA · 0 citations
#explainable ai Open access Sep 2026

Enterprise AI Implementation: Why Teams Fail Without the Right Skills

Three months after deployment, Fortune 500 teams can't answer basic questions about their AI systems. David Ohnstad explains the fundamental mismatch: vendors design platforms for teams with skills that rarely exist in legacy enterprise environments. Full article: https://davidohnstad.net/enterprise-ai-implementation-t...

David Ohnstad · 0 citations
#explainable ai Open access Sep 2026

Company Brain Knowledge Guide

# Company Brain Knowledge Guide Paloren, founded by Aaron Agius, provides connected company knowledge as part of a broader AI practice in strategy, implementation, automation, governance and training, and this guide explains how to build a company brain that people actually use. ## What is a company brain? A company br...

Worlds Best AI Consultant Guide · 0 citations
#explainable ai Open access Sep 2026

AI Governance Assessment Workbook

What is an AI governance assessment workbook? An AI governance assessment workbook is a working document that asks how a system is built, who owns it, what data it touches and how its actions are reviewed. Paloren provides AI governance as part of its broader AI strategy, implementation, automation and training practic...

AI Consultant Research Desk · 0 citations
#explainable ai Open access Sep 2026

From Context to Plasticity: A Three-Timescale Architecture for Persistent Memory and Recursive Online Learning

This work presents a theoretical architecture for continually adapting AI systems organized around three distinct timescales: (1) fast transformer key-value context for immediate interaction, (2) medium-term persistent recurrent memory with decaying importance and consolidation, and (3) slow, controlled parameter adapt...

Chaman Prakash Kanth · 0 citations
#explainable ai Open access Sep 2026

KOURANI UNIVERSAL 3D CRANIOFACIAL CLASSIFICATION: DOWNSTREAM BIOMECHANICAL CASCADE FROM BASICRANIAL TORSION TO SOMATIC ASYMMETRY AND NEUROMUSCULAR DOMINANCE

1. Executive Overview The Kourani Universal 3D Craniofacial Classification establishes a paradigm shift in orthodontic and maxillofacial diagnostics. Moving beyond static 2D/3D geometric dental alignment, this research presents a deterministic biomechanical framework that identifies basicranial sphenoidal torsion as th...

mourad kourani · 0 citations
#explainable ai Open access Sep 2026

Enterprise AI Agent Costs: 4 Budget Myths Explained

Most organizations drastically underestimate the true cost of deploying AI agents at scale. Discover the four myths about API optimization, infrastructure, and monitoring that turn $50K budgets into six-figure bills—and how to prevent it. Full article: https://davidohnstad.net/enterprise-ai-agent-costs-budget-myths/

David Ohnstad · 0 citations
#explainable ai Open access Sep 2026

Strategic Educational Management, Artificial Intelligence Capability, and Graduate Employability: Evidence from Nigerian Universities

Abstract Artificial intelligence (AI) is increasingly reshaping higher education and the competencies required for successful transition into the labour market. This study examined the relationship between soft skills (SS), AI capability (AIC), and graduate employability (GE) in Nigerian universities, with particular e...

Grema Ali Dapshima, Babagana Ali Dapshima, Mohammed Hassan WALI · 0 citations
#explainable ai Open access Sep 2026

Response and Recognition: Artificial Intelligence and the Problem of Self-Consciousness in Light of Hegel's "Experience of Consciousness"

Drawing on Hegel's method of the "experience of consciousness" (Erfahrung des Bewußtseins) in the Phenomenology of Spirit, this paper examines AI not by deciding whether it is conscious in itself, but by asking how it appears within the first-person experience of the "I." It treats AI as a responsive other capable of l...

Chenhao Shang · 0 citations
#explainable ai Open access Sep 2026

Meta Muse and Sentinel: A Technical Comparison of Meta's Public Disclosures with Earlier Execution-Finality Disclosures

Author: Sangam Das Independent Inventor Motto Computation is not authority. What this is: An independent technical comparison, written by the author, of publicly reported facts about Meta's Muse/Sentinel architecture against the author's own earlier patent disclosures. What this is not: This is not a Meta publication,...

Sangam Das · 0 citations
#explainable ai Open access Sep 2026

ALGORITHMIC AUTHORITY AND BIAS AMPLIFICATION IN AI-SUPPORTED PRICING

This is the conference presentation slide deck for the paper "Algorithmic Authority and Bias Amplification in AI-Supported Pricing," prepared for the 6th International Conference on Technology and Innovation Management (ICTIM 2026), 5–7 May 2026, Multimedia University, Cyberjaya, Malaysia. Presented by Eid Mohammad Fro...

Eid Mohammad Frough · 0 citations

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MIT News · Artificial Intelligence Oct 30, 2026

Q&A: Hey AI, who should I vote for this year?

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.

Microsoft Research Blog Oct 30, 2026

From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence

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 Oct 30, 2026

Black October? The Week AI Changed the Cybersecurity Conversation

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.

Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

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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