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Both readings

Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar

Background: Artificial intelligence (AI) is widely used in mental health care for screening, monitoring, and intervention. Notably, most studies of AI in mental health have been performed in Western contexts, with limited evidence from the Arab Gulf region, where cultural factors such as stigma, privacy, and help-seeking norms may influence acceptance. Objective: Investigating university students’ perceptions of AI in mental health support, including awareness, trust, readiness, and preferences in a Gulf context…

Healthcare · Health

Exploring Students’ Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar
Barriers and Facilitators to the Use of Large Language Model-Based Conversational Agents in Mental Healthcare: A Systematic Review
Both readings

Barriers and Facilitators to the Use of Large Language Model-Based Conversational Agents in Mental Healthcare: A Systematic Review

(1) Background/Objectives: Over one billion individuals globally live with mental health conditions, yet the treatment gap exceeds 75% in low- and middle-income countries. Large language model (LLM)-based conversational agents have emerged as a potentially scalable solution, though the evidence base remains nascent and largely pre-clinical. This review synthesises barriers and facilitators to their implementation in mental healthcare using the Consolidated Framework for Implementation Research (CFIR). (2) Method…

Health
Advancing healthcare AI governance through a comprehensive maturity model based on systematic review
Both readings

Advancing healthcare AI governance through a comprehensive maturity model based on systematic review

Artificial Intelligence (AI) deployment in healthcare is accelerating, yet governance frameworks remain fragmented and often assume extensive resources. Through a systematic review of 35 frameworks for AI implementation in healthcare (published 2019-2024), we identified seven critical domains of healthcare AI governance. While existing frameworks provide valuable guidance, the resource requirements create barriers for smaller healthcare organizations. To address this gap, we organized key findings from the revie…

Health
ChatGPT Health performance in a structured test of triage recommendations
Evidence-backed problem

ChatGPT Health performance in a structured test of triage recommendations

ChatGPT Health was launched in January 2026 as OpenAI's consumer health tool and has reached millions of users. Here we conducted a structured stress test of triage recommendations using 60 clinician-authored vignettes across 21 clinical domains under 16 factorial conditions, yielding 960 total responses. Performance followed an inverted U-shaped pattern, with the most dangerous failures concentrated at clinical extremes-nonurgent presentations (35%) and emergency conditions (48%). Among gold-standard emergencie…

Health
AI-enhanced pedagogical practices and mathematical language proficiency in STEM education
Evidence-backed gain

AI-enhanced pedagogical practices and mathematical language proficiency in STEM education

This study investigates the effectiveness of AI-enhanced pedagogical practices on improving the mathematical language proficiency of senior high school students in Ghana. The current research adopted a quantitative cross-sectional design, where the structural equation modeling approach was used on a sample size of 360 participants, to investigate digital literacy and learning engagement as partial mediators. As expected, results from this study show that AEPP, DL, and LE are statistically significant positive pr…

Education
Artificial intelligence and social media as new arenas of political competition: challenges for democracy
Evidence-backed gain

Artificial intelligence and social media as new arenas of political competition: challenges for democracy

This study examined how users’ perceptions of algorithmic influence and AI manipulation are associated with key democratic indicators, including trust in political information, perceived political autonomy, and the quality of online deliberation. The study is based on a mixed research design. The quantitative part included a survey of 1,795 active social media users in the Republic of Kazakhstan. The analysis used correlation analysis, multivariate OLS regression with interaction effects, and sample weighting. T…

Policy
Hybrid‑Threat Intelligence: A Critical Review of Semantic Integration Challenges and the Role of the HIPSTer Ontological Framework
Both readings

Hybrid‑Threat Intelligence: A Critical Review of Semantic Integration Challenges and the Role of the HIPSTer Ontological Framework

Contemporary hybrid threats employ coordinated campaigns across information, cyber, and physical domains, maintaining plausible deniability while exploiting institutional vulnerabilities. This review conducts a scoping analysis following the PRISMA ScR framework (Preferred Reporting Items for Systematic Reviews and Meta-Analyses—Extension for Scoping Reviews) to evaluate Open Source Intelligence (OSINT), Social Media Intelligence (SOCMINT), and Natural Language Processing (NLP) capabilities relevant to hybrid th…

Policy

Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability

Introduction: As generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of work, which raises critical theoretical questions about how employees can build sustainable careers. Drawing on approach-avoidance motivation theory, this study distinguishes between two types of proactive employee adaptation to AI (i.e., AI job crafting): an approach-oriented type aimed at leveraging AI to expand job boundaries and enhance personal capabil…

Labor
Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability

Synthetic lovers: A framework for understanding artificial intimacy

This paper explores the evolving landscape of artificial intimacy through the ‘Synthetic Lovers’ framework, a tripartite sociological model comprising digital, synthetic, and virtual intimacy. By analyzing contemporary case studies – ranging from emotional entanglement with large language models to ceremonial weddings with AI personas – I argue that these relationships are not mere technological anomalies but symptoms of a broader transformation in the social organization of intimacy. The framework integrates th…

Lifestyle
Synthetic lovers: A framework for understanding artificial intimacy

Do deepfakes, digital replicas and human digital twins justify personality rights?

Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content and displacing creative workers. It demonstrates that the current UK legal patchwork of passing off, intellectual property, defamation, and criminal laws do not adeq…

Policy
Do deepfakes, digital replicas and human digital twins justify personality rights?

The Impacts of Generative AI on the Meaningfulness of Creative Work

Abstract Recent advances in Generative AI (GenAI) are transforming creative industries, raising urgent ethical questions. This paper explores the impacts of GenAI on the meaningfulness of work for specialist, embedded, and support creatives. By integrating Amabile’s componential model of creativity with a holistic framework of meaningful work, we explore five dimensions of meaningfulness: task integrity, skill cultivation, task significance, autonomy, and belongingness. We emphasize the dual impacts of GenAI, hi…

Labor
The Impacts of Generative AI on the Meaningfulness of Creative Work

A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance

The use of Artificial Intelligence (AI) within workforce analytics represents a paradigm shift in how organizations make decisions regarding their employees. While AI-enabled workforce analytics can enable proactive and predictive decision-making, the literature identifies multiple substantive risks associated with the use of AI in workforce analytics, namely: algorithmic opacity, automation bias, proxy-based discrimination, and employee surveillance. This literature gap was addressed through developing and vali…

Labor
A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance

A kind of magic? Artificial intelligence-assisted recording: developing principles for an AI-informed social work curriculum

The deployment of AI tools in social work practice settings is advancing at a pace that social work education has yet to match. Drawing on baseline findings from an independent evaluation of Magic Note, an AI-assisted recording tool deployed across a Scottish Local Authority social work department, this paper uses the empirical experiences of a workforce encountering AI in practice as a window into the underdeveloped implications for qualifying education. The evaluation, which involved 152 practitioners surveyed…

Education
A kind of magic? Artificial intelligence-assisted recording: developing principles for an AI-informed social work curriculum

Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies

In the wake of rapid digital transformation, emerging technologies like FinTech, AI, and Blockchain are reimagining how countries pursue sustainable development. This study examines how FinTech adoption, Artificial Intelligence (AI) readiness, and Blockchain activity influence sustainable development performance across G20 economies over the period 2015–2023. Drawing on Innovation-Driven Growth Theory, the Technology–Organization–Environment framework, and Institutional Theory, the analysis evaluates both the di…

Climate
Digital Technologies and Sustainable Development: Evidence from FinTech, AI, and Blockchain Adoption in G20 Economies

Man with Machine: The Unaddressed Copyright Issues of Mixed Musical Works

The copyrightability of mixed musical works, which contain a blend of human and generative AI elements, is an issue of increasing prevalence in copyright law. While there has been some discussion on the copyright status of fully generative AI works, this mainly resides in state law, and much of the federal policy found in Copyright Guides published by the United States Copyright Office is a non-binding opinion. Additionally, the same circuit courts contradict themselves, as seen with the differing views on the f…

Policy
Man with Machine: The Unaddressed Copyright Issues of Mixed Musical Works