Artificial intelligence is increasingly embedded in secure software development, yet its impact on security outcomes depends less on technical capability than on the socio-technical integration of its outputs. This paper examines human - AI collaboration, focusing on the critical interface between automated decision-su...
Marina Marinova Stoyanova, Boris Gramchev· Proceedings of the Internati...· 0 citations
A conceptual crosswalk is proposed that maps controls across domains onto shared AI lifecycle stages, exposing redundancy and gaps and set out a research agenda for integrated governance that treats legal, financial, and data controls as a single accountable system rather than three parallel ones.
Ashore-Onisemo Funmilayo· International Journal of Eco...· 0 citations
An integrated dual mediation model is constructed that reconciles conflicting psychological evaluations of intelligent systems, deepens the understanding of paradoxical adoption behaviors, and offers practical implications for optimizing intelligent services within C2C second-hand ecosystems.
It is argued that treating the human and the model as a single joint cognitive system is the central design principle for the next generation of decision systems.
Ashore-Onisemo Funmilayo· INTERNATIONAL JOURNAL OF SOC...· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
A hybrid machine learning model that leverages multi-modal data—including textual URL features, HTML content, webpage screenshots, and metadata—to achieve robust and accurate phishing detection is proposed, highlighting the efficacy of multi-modal fusion in overcoming limitations of unimodal approaches.
Epelle Bright Curthbert· International Journal of Com...· 0 citations
This paper presents SecureVision, an evaluation of the use of deep learning to enhance women&s;s safety by detecting visible threats. This will include an in-depth discussion of Convolutional Neural Networks (CNNs) and identifying violent and aggressive behavior based on surveillance videos. The evaluation will explain...
Nikhil Singh Chauhan, Aditya Raj, Uma Chauhan et al.· 0 citations
An extended acceptance model that incorporates perceived content quality, trust, perceived risk, self-regulated learning, self-regulated learning, and digital–AI literacy is developed and tested and discusses theoretical and practical implications for platform design and institutional policy.
This invaluable text explains how to compile and structure different forms of writing in occupational therapy, using easy-to-follow templates for capstone projects and publishable manuscripts. Now aligned with the 7th edition of APA standards, the book can be used to help in the writing of needs assessments, case repor...
Sharon A. Gutman, Diane Powers Dirette· 0 citations
As ESG principles and cutting-edge digital innovations intersect in the creative economy, strategic leadership is changing in ways never before imaginable. This chapter discusses the role of Explainable Artificial Intelligence (XAI) in supporting ESG-driven decision intelligence by allowing a leader to make transparent...
Duggirala Aravind, R. N. Ravikumar, A. Rahmath Nisha· Reengineering Strategic Lead...· 0 citations
This study proposes the HSEL model to improve the accuracy of fire risk predictions based on meteorological data and real-time IoT integration. The main issues with individual models are their susceptibility to bias and overfitting, while conventional stacking methods have not been able to effectively optimize the cont...
The purpose of this study is to examine factors that impact the sustainability of the organizations in the engineering, electrical and information technology in Jordan and examine the moderating role of digital leadership. The data of 396 leaders were collected and analyzed using the quantitative approach and PLS-SEM....
Ahmad Ziad Abdalkareem Alzghool, Amar Hisham Jaaffar, Mohd Rizuan Abdul Kadir· WSEAS TRANSACTIONS ON SYSTEM...· 0 citations
The increasing use of AI-enabled surveillance in policing has created heterogeneous networks integrating IoT sensors, machine learning models, and multi-agency information systems across diverse vendors and jurisdictions. This chapter proposes an ethical, legal, and governance framework for AI-driven smart surveillance...
Shikha Khullar, Astri Dwi Andriani, Harish Kumar Pamnani et al.· Advances in wireless technol...· 0 citations
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· microsoft.comOct 30, 2026
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.
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· microsoft.comOct 29, 2026
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.