Vol 5, Issue 1 (2026)

Making AI Decisions Answerable: A Governance Framework for Transparency Duties, Auditable Evidence, Contestability, Human Review, and Meaningful Redress

Michael Osei, Ingrid Larsen & Rajesh Menon

Review | Open access | 15 March 2026 | Article: 78

When Does an Intelligent System Become Trustworthy? A Maturity Model for Transparency, Reliability, Human Oversight, Governance Integration, and Continuous Assurance

Clara Novak, Ahmed El-Sayed & Julia Berg

Original Research | Open access | 15 March 2026 | Article: 79

Can Foundation Models Be Trusted? A Scoping Review of Interpretability, Hallucination, Uncertainty, Alignment, Evaluation, and Human Oversight

David Chen, Maria Papadopoulou & Kwame Boateng

Review | Open access | 15 March 2026 | Article: 80

Measuring What Explanations Actually Achieve—An Umbrella Review of Fidelity, Stability, Comprehensibility, Decision Usefulness, Human Trust, and Reliance

Sarah Bennett, Kwame Asante & Elena Rossi

Review | Open access | 15 March 2026 | Article: 81

Why Explainable AI Is Adopted, Ignored, or Misused—A Realist Review of Contexts, Trust Mechanisms, Human Responses, and Decision Outcomes

Peter Novak, Leila Haddad & Johan Nilsson

Review | Open access | 15 March 2026 | Article: 82

Making Machine Reasoning Open to Question: An Integrative Review of Causal, Neuro-Symbolic, Knowledge-Grounded, and Uncertainty-Aware Explainability

Ana Silva, Mohamed Al-Farsi & Luca Moretti

Review | Open access | 15 March 2026 | Article: 83

Responsible Foundation Models Need More Than Alignment: A Governance and Technical Safeguard Framework for Explainability, Reliability, Human Control, and Institutional Accountability

Daniel Kim, Emma Wright & Luca Moretti

Original Research | Open access | 15 March 2026 | Article: 84

Ground, Qualify, Verify, and Abstain—A Safety Framework for Hallucination Control, Evidence Grounding, Uncertainty Communication, and Decision Boundaries in Generative AI

Ingrid Berg, Thomas Müller & Naledi Mokoena

Original Research | Open access | 15 March 2026 | Article: 85

Who Controls the Agent? A Conceptual Architecture for Governing Goals, Tool Use, Memory, Action Verification, and Human Override in Agentic AI

Rajiv Sharma, Sophie Dubois & Kenji Nakamura

Original Research | Open access | 15 March 2026 | Article: 86

Following the Evidence Across Modalities: A Conceptual Architecture for Explainability in Text, Vision, Audio, Sensor, and Structured-Data Intelligent Systems

Amelia Clarke & Carlos Mendoza

Original Research | Open access | 15 March 2026 | Article: 87

From Prediction to Intervention: A Causal Explainability Framework for Counterfactual Reasoning, Mechanism Discovery, Confounding Control, and Decision Validity

Hassan Al-Rashid, Julia Schmidt & Peter O’Connor

Original Research | Open access | 15 March 2026 | Article: 88

Say What the Model Does Not Know: A Framework for Confidence Calibration, Ambiguity Disclosure, Risk Communication, and Selective Prediction in Explainable Decision Intelligence

Maria Lopez & David Thompson

Original Research | Open access | 15 March 2026 | Article: 89

Explanation Is Not Enough—A Conceptual Framework for Designing AI Decisions That People Can Challenge, Override, Appeal, and Correct

Elena Petrova, Marcus Weber & Priya Nair

Original Research | Open access | 15 March 2026 | Article: 90

Can We Make a Trustworthiness Case for AI? A Methodological Framework for Claims, Evidence, Structured Arguments, Residual Risks, and Deployment Decisions

Thomas Andersen, Sofia Lindqvist & David Okoro

Original Research | Open access | 15 March 2026 | Article: 91

Trust Must Survive Deployment—A Continuous Assurance Lifecycle for Drift Detection, Explanation Monitoring, Incident Response, Model Restriction, and Retirement in Adaptive AI Systems

James Whitfield, Aisha Rahman & Kenji Sato

Original Research | Open access | 15 March 2026 | Article: 92

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