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Both readings

Artificial intelligence and economic growth in G20 economies: investigating nonlinear effects through a GMM method

This study investigates the non-linear impact of artificial intelligence (AI) on economic growth in 19 G20 countries, using data from 2005 to 2023 and employing the Generalized Method of Moments (GMM) with both linear and quadratic models. The linear model indicates that AI-related innovation has a positive and significant effect on economic growth, while the negative quadratic term confirms a concave relationship between AI and growth. Regarding the effects of AI interactions with various mechanisms on economic…

Humanities and Social Sciences Communications · Business

Artificial intelligence and economic growth in G20 economies: investigating nonlinear effects through a GMM method

Evidence-backed gain

AI-powered voice assistants for older adults: a literature review of insights, research practices, and future directions

As the global population of older adults grows, AI-powered Voice Assistants (VAs) are explored as tools to mitigate loneliness, social isolation, and cognitive decline. By enabling intuitive, hands-free interaction, VAs provide a means to enhance independence, emotional well-being, and daily functioning for older adults. This paper presents a systematic review on older adults’ interactions with VAs, analysing 48 studies, which is more than double the scope of prior reviews. Studies were selected from an initial…

Science

Both readings

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers

Although Foundation Models (FMs), such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models’ real-world interaction. To address this, FM providers introduced tool calling—triggering a proliferation of frameworks with distinct tool interfaces. In late 2024, Anthropic introduced the Model Context Protocol (MCP) to standardize this tool ecosystem. With SDK downloads surpassing twenty five million per week and 86% of enterprises using mo…

Crime

Evidence-backed gain

Understanding critical thinking in generative artificial intelligence use: Development, validation, and correlates of the critical thinking in AI use scale

Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI outputs rather than accept them at face value. The present research conceptualises critical thinking in AI use as a dispositional tendency to verify the source and content of AI-generated information, to understand how models work and where they fail, and to reflect on the broader implications of relying on AI. Across six studies ( N =…

Policy

Evidence-backed gain

The use of artificial intelligence in mathematics education: perceptions among young university students

Abstract Students consider artificial intelligence (AI) to be a valuable tool for developing their skills in an educational context, particularly in the teaching of mathematics. The main objective of this research is to determine whether the use of AI is valid and reliable in the context of mathematics teaching. This study involved a sample of 853 university students from Melilla, Ceuta and Granada, using an ad hoc quantitative research design, and employing a questionnaire validated by a group of experts to car…

Education

Evidence-backed gain

AI-Driven Predictive Analytics for Supply Chain Resilience, Financial Risk Management, and Digital Marketing Strategy: A Unified Business Intelligence Framework

The arrival of artificial intelligence and big-data analytics at scale has begun to redraw the strategic map of the modern enterprise. Three areas sit close to the center of that change: how firms manage their supply chains, how they assess financial risk, and how they think about digital marketing. Each has its own substantial literature, yet the three are seldom examined together inside a single, properly governed analytical architecture. This paper sets out to close that gap. We develop and empirically valida…

Policy

Evidence-backed problem

Beyond Generative Intelligence: A Comprehensive Review of Emerging Artificial Intelligence Paradigms, Explainability Challenges, Ethical Risks, and Future Directions

The artificial intelligence landscape has undergone a profound transformation from narrow, task-specific automation to sophisticated, multi-paradigm systems capable of autonomous reasoning, emotional understanding, and creative generation. This systematic literature review synthesizes 141 peer-reviewed studies published between 2018 and 2026 to map the evolution of AI paradigms beyond the dominant Generative AI breakthrough. Following PRISMA guidelines, we analyzed 4,250 initial records across six major academic…

Crime

Deepfake-induced harm and AI accountability: a layered civil-liability framework for generative models, platforms, and digital identity

Deepfake and other synthetic-media harms create a civil-liability problem that ordinary tort doctrine does not easily resolve: harmful content may be generated, amplified, monetised, and redistributed through a chain of actors in which no single participant controls the whole causal process. The objective of this article is to develop a layered civil-liability framework for that problem. It examines the Saudi and Jordanian civil-liability regimes as the principal doctrinal focus, while using selected EU, US, UAE…

Policy

Deepfake-induced harm and AI accountability: a layered civil-liability framework for generative models, platforms, and digital identity

AI-Generated Likeness and The Law: Protecting Personality Rights in The Age of Deepfakes and Social Media Exploitation

The proliferation of artificial intelligence (AI) technologies—particularly deepfakes—has given rise to complex legal and ethical challenges concerning the unauthorised use of an individual’s likeness. With AI-generated content becoming increasingly indistinguishable from reality, questions surrounding the protection of personality rights have taken centre stage. Celebrities, politicians, and even private individuals are now at risk of having their images, voices, and behaviours manipulated and disseminated with…

Policy

AI-Generated Likeness and The Law: Protecting Personality Rights in The Age of Deepfakes and Social Media Exploitation

Handling The Crime of Manipulating Children's Photos That Violate The Morality of Studies at The Cirebon City Police

Background. The development of information technology and Artificial Intelligence (AI) has given rise to various forms of cybercrime, one of which is the criminal act of manipulating indecent images of children. Aims. This study aims to identify the modus operandi and the handling of criminal acts involving the manipulation of indecent images of children by the police. The research method employed is normative legal research using statutory, conceptual, and case approaches. The data were obtained through a liter…

Crime

Negotiating Ethical Coexistence with AI: A Grounded Theory of Japanese Students’ Conditional Trust, Agency, and the Development of Critical AI Literacy

Generative Artificial Intelligence (GenAI) is increasingly reshaping how students learn, reason, and create, raising pressing questions about agency, trust, and moral responsibility. While information systems (IS) research has emphasized organizational governance and design ethics, less is known about how students develop ethical awareness in everyday AI use. This study applies a systematic grounded theory lens to a mixed-format survey of 69 Japanese university students. We develop a process model of how student…

Education

Negotiating Ethical Coexistence with AI: A Grounded Theory of Japanese Students’ Conditional Trust, Agency, and the Development of Critical AI Literacy

Who Is in the Room? Stakeholder Perspectives on AI Recording in Pediatric Emergency Care

Artificial intelligence systems that record voice and video during pediatric emergencies are emerging as human-computer interaction (HCI) technologies with direct implications for clinical work, promising improvements in documentation, team performance, and post-event debriefing. Yet the perspectives of those most affected, including clinicians, parents, and child patients, remain largely absent from the design and governance of these technologies. This position paper argues that this has direct consequences for…

Health

Young people’s perceptions and recommendations for conversational generative artificial intelligence in youth mental health

Conversational generative artificial intelligence agents (or genAI chatbots) could benefit youth mental health, yet young people's perspectives remain underexplored. We examined the Mental health Intelligence Agent (Mia), a genAI chatbot originally designed for professionals in Australian youth services. Following co-design, 32 young people participated in online workshops exploring their perceptions of genAI chatbots in youth mental health and to develop recommendations for reconceptualising Mia for consumers a…

Health

Guest editorial: STARA (smart technology, AI, robotics and algorithms): implications for career research

Significant advancements in smart technology, AI, robotics and algorithms (STARA) are changing how organisations design and implement work for the current and future workforce. Understanding the implications of STARA on work attitudes and behaviours is gaining the attention of scholars and practitioners (e.g. Brougham and Haar, 2018; Raisch and Krakowski, 2021; Tang et al., 2023; Ulfert et al., 2024; Yam et al., 2023), with existing findings highlighting the varied and significant effects that different types of…

Labor

Guest editorial: STARA (smart technology, AI, robotics and algorithms): implications for career research

Revising research practices for singing data collection

Abstract As AI voice synthesis enables increasingly sophisticated vocal deepfakes and non-consensual voice cloning, the governance, licensing and access of singing datasets has become an urgent concern for data-contributors, who face significant harms from downstream and non-consensual usage of their singing data. Singing datasets are foundational to the development of high fidelity voice AI synthesis, yet current data collection practices pose challenges: data-contributors have an event-centric contribution to…

Media & Arts

Revising research practices for singing data collection