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explainable ai

2,878 papers

Engineering a Governance-Aware AI Sandbox: Design, Implementation, and Lessons Learned

This work designs and operationalizes a governance-aware, multi-tenant AI sandbox that supports structured experimentation and produces reusable evaluation evidence across stakeholders and yields lessons learned and practical considerations that inform deployment and future evolution of governance-aware sandbox platfor...

Muhammad Waseem, M. Islam, Md Nasir Uddin Shuvo et al. · 1 citation
#computer vision Aug 2026

AI Sandbox: Technical Report

This work presents the design and implementation of a governance-aware, multi-tenant AI sandbox for structured experimentation and the generation of reusable evaluation evidence across projects and stakeholder groups.

Muhammad Waseem, M. Islam, Md Nasir Uddin Shuvo et al. · 0 citations
#computer vision Apr 2026

Agentic Frameworks for Reasoning Tasks: An Empirical Study

This study provides the first large-scale empirical comparison of agentic frameworks for reasoning-intensive software engineering tasks and shows that framework selection should prioritize orchestration quality, especially memory control, failure handling, and cost management.

Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al. · 1 citation
#artificial intelligence Book Open access Nov 2023

Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI

This research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems through an intensive examination of the literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.

M. Agbese, Niko Mäkitalo, Muhammad Waseem et al. · 6 citations · ⚡1
#computer vision Conference Open access Feb 2026

Carbon-Aware Governance Gates: An Architecture for Sustainable GenAI Development

Carbon-Aware Governance Gates (CAGG), an architectural extension that embeds carbon budgets, energy provenance, and sustainability-aware validation orchestration into human-AI governance layers, is proposed.

M. Abbasi, T. Mikkonen, Petri Ihantola et al. · 0 citations
#artificial intelligence Review Aug 2026

Responsible Integration of AI in Cancer Genomics: Barriers, Risks, and Pathways to Trustworthy Clinical Translation

A conceptual framework and roadmap for addressing four interrelated translational failure domains through rigorous validation, uncertainty-aware methods, interoperable infrastructures, regulatory alignment, and human oversight across the AI lifecycle is proposed.

Bahar Ilgen, Yiannos S. Tolias, D. Kühnert et al. · 0 citations
#machine learning Preprint Aug 2026

The PUR-1 Cyber-Physical Digital Twin

The Purdue University Reactor One Digital Twin (PUR-1 DT) is presented, a cyber-physical digital twin with a complete high-fidelity physics-based and AI-driven virtual model stack which provides closed-loop explainable diagnostics, forecasting, predictive control, and action recommendation back to the reactor via two-w...

Vasileios Theos, Jonah Lau, K. Gkouliaras et al. · 1 citation
#explainable ai Open access Sep 2026

Future of Financial Crime Compliance: From Reactive Reporting to Proactive Risk

The field of financial crime compliance is undergoing rapid transformation driven by increasingly stringent global regulations, technological advancement, and the growing sophistication of criminal methodologies. Traditional financial crime compliance frameworks have relied predominantly on reactive measures such as su...

Amarjeet Singh · 0 citations
#explainable ai Open access Sep 2026

Future of Financial Crime Compliance: From Reactive Reporting to Proactive Risk

The field of financial crime compliance is undergoing rapid transformation driven by increasingly stringent global regulations, technological advancement, and the growing sophistication of criminal methodologies. Traditional financial crime compliance frameworks have relied predominantly on reactive measures such as su...

Amarjeet Singh · 0 citations
#artificial intelligence Open access Sep 2026

FROM EMPIRICAL HERBAL MEDICINE TO PREDICTIVE THERAPEUTICS: THE ROLE OF AI AND MULTI-OMICS

Purpose: Medicinal plants are the richest source of structurally diverse biologically active compounds. Herbal leads discovery can also be accelerated using artificial intelligence and multi omics technologies. This review evaluates and summarizes the applications of artificial intelligence (AI), multi-omics, synthetic...

Ansh Mishra1, Aarti Yadav2, Govind Gupta2, Priya3, Km. Deeksha4* · 0 citations
#artificial intelligence Open access Sep 2026

FROM EMPIRICAL HERBAL MEDICINE TO PREDICTIVE THERAPEUTICS: THE ROLE OF AI AND MULTI-OMICS

Purpose: Medicinal plants are the richest source of structurally diverse biologically active compounds. Herbal leads discovery can also be accelerated using artificial intelligence and multi omics technologies. This review evaluates and summarizes the applications of artificial intelligence (AI), multi-omics, synthetic...

Ansh Mishra1, Aarti Yadav2, Govind Gupta2, Priya3, Km. Deeksha4* · 0 citations

From tech blogs

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Microsoft Research Blog Nov 5, 2026

Formally verifying agent-written full-stack web apps with PDD Kit

AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…

Microsoft Research Blog Nov 3, 2026

Learn the rules: The hacker mindset

Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.

GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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