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explainable ai

2,749 papers

#explainable ai Open access Oct 2026

PREreview of "Psychosexual Rehabilitation After Cancer: A Narrative Review of the Intervention Evidence and a Stepped-Care Model for Survivorship Practice"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121365. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...

Ghadeer Asarwi · 0 citations
#explainable ai Open access Oct 2026

Understanding Consumer Behavior Through AI-Driven Predictive Analytics

Abstract: The rapid proliferation of artificial intelligence (AI) and big data analytics has fundamentally transformed how organizations understand, predict, and influence consumer behavior. Despite the growing adoption of AI-driven predictive analytics in marketing, there remains limited theoretical integration explai...

Dr. (Mrs). Vaishali Nadkarni · 0 citations
#explainable ai Open access Oct 2026

Structured PREreview of "Female Signatories and Peace Durability: Replicating Krause, Krause, and Bränfors (2018)"

This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/23120609. Does the introduction explain the objective of the research presented in the preprint? Yes Are the methods well-suited for this research? Somewhat appropriate A...

Khaiyam Khalid · 0 citations
#explainable ai Open access Oct 2026

FAIAS — Financial AI Independent Assurance Standard (v1.3.2)

FAIAS (Financial AI Independent Assurance Standard) is a baseline for reviewing generative, agentic and predictive AI systems in financial institutions. This is its first public release. What it contains A taxonomy of how these systems fail. 109 Independent Review Questions. Each has a review canvas and a test procedur...

Wonder Attah · 0 citations
#explainable ai Open access Oct 2026

Financing the Body, Forgetting the Process: A Demand-Side Pillar for Physical AI and Humanoid Robotics Incentives in Italy

In autumn 2026 the Italian government announced a package of measures for advanced robotics and Physical AI: a dedicated fund of 200-300 million euro in the 2027 budget law, the use of Innovation Agreements (Accordi per l'innovazione) as the delivery vehicle, a publicly controlled "chain leader" to aggregate the supply...

Marco Belardi · 0 citations
#explainable ai Open access Oct 2026

AI, DEEPFAKES, AND DEMOCRATIC ACCOUNTABILITY: THE ROLE OF RTI LAWS

With the advent of artificial intelligence and deepfake technologies, the modern information landscape is changing, giving rise to realistic synthetic text, images, audio, and videos. Such changes pose significant problems for democratic accountability, because they can skew political discourse, reduce trust in authent...

Pranita Choudhury and Nandini Saikia Lohit Kumar Saikia · 0 citations
#explainable ai Dataset Open access Oct 2026

Explainable Agricultural Water-Use Efficiency: Integrating Frontier Analysis with Explainable AI for Environmental Decision Support

This record contains the data, code, and results supporting the book chapter "Explainable Agricultural Water-Use Efficiency: Integrating Frontier Analysis with Explainable AI for Environmental Decision Support" by Morteza Yaqubi and Ali Maroosi, prepared for the Elsevier volume Environmental Intelligence: Artificial In...

Yaqubi Morteza, Maroosi Ali · 0 citations
#explainable ai Open access Oct 2026

PREreview of "Psychosexual Rehabilitation After Cancer: A Narrative Review of the Intervention Evidence and a Stepped-Care Model for Survivorship Practice"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121600. Summary of main findings and contribution This narrative review focuses on an important question: how psychosexual rehabilitation after cancer can be delivered at scale, r...

Ghadeer Asarwi · 0 citations
#explainable ai Open access Oct 2026

PREreview of "Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23121066. Peer Review Preprint Title: Self-Correcting Multimodal AI Agents for Reliable Autonomous Decision-Making Authors: Muhammad Umair Younus, Hammad Muneer, Danial Hameed, and...

Jr. Julian Rodriguez · 0 citations
#explainable ai Open access Oct 2026

Complete Guide: How to Get a Java Developer Job at Top Tech Companies

TechPanda Academy presents a complete guide for Java developers who want to get hired at top technology companies such as Amazon, Microsoft, Google and Meta. The guide explains the interview process step by step, from the recruiter screen and online assessment to the final interview loop, and shows what is tested at ea...

TechPanda Academy · 0 citations
#explainable ai Open access Oct 2026

The Influence of AI Governance Ethics and Algorithmic Transparency on Employee Trust and Responsible Use of AI-Powered Performance Management Systems: Evidence from Three Digital Loan Firms in Lagos, Nigeria

Abstract This study examines how AI governance ethics and algorithmic transparency shape employee trust in, and responsible use of, AI-powered performance management systems (AI-PMS), and whether AI literacy strengthens the transparency–trust link. A convergent parallel mixed-methods design was applied across three CBN...

Ahmed Olakunle Ogungbade, Osimokha Achief Godsent, Adetayo Olaitan Ayanleke et al. · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 23, 2026

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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