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“It happened to be the perfect thing”: experiences of generative AI chatbots for mental health

The global mental health crisis underscores the need for accessible, effective interventions. Chatbots based on generative artificial intelligence (AI), like ChatGPT, are emerging as novel solutions, but research on real-life usage is limited. We interviewed nineteen individuals about their experiences using generative AI chatbots for mental health. Participants reported high engagement and positive impacts, including better relationships and healing from trauma and loss. We developed four themes: (1) a sense of…

npj Mental Health Research · Health

Evidence-backed gain

Experimental narratives: A comparison of human crowdsourced storytelling and AI storytelling

Abstract The paper proposes a framework that combines behavioral and computational experiments employing fictional prompts as a novel tool for investigating cultural artifacts and social biases in storytelling both by humans and generative AI. The study analyzes 250 stories authored by crowdworkers in June 2019 and 80 stories generated by GPT-3.5 and GPT-4 in March 2023 by merging methods from narratology and inferential statistics. Both crowdworkers and large language models responded to identical prompts about…

Science

Both readings

Ethical examination of AI coaches: privacy, bias, and responsibility

The integration of artificial intelligence (AI) into sports, particularly through AI-driven coaching systems, marks a transformative advancement with the potential to revolutionize personalized training. AI coaches can create customized, data-driven training programs designed to optimize athletic performance. However, this technological progress also brings with it significant ethical concerns, including privacy violations, data biases, and ambiguous responsibility in cases of failure or misuse. These risks exte…

Sports

Both readings

AI and work in the creative industries: digital continuity or discontinuity?

There is current uncertainty about the effects of generative AI technologies on labour markets and conditions of work in creative industries. Previous scholarship identifies the potential for both replacement and displacement of human labour due to AI adoption. This article examines potential effects of AI adoption by drawing on case studies of 6 commercial products using AI, investigating conditions of work and mechanisms by which human creative labour might be replaced or displaced by AI technology. The main f…

Labor

Evidence-backed gain

Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review

The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments in artificial intelligence (AI), machine learning, and big data analytics have completely transformed the diagnosis, treatment, and care of patients. AI-powered solutions are enhancing the efficiency and accuracy of healthcare delivery by demonstrating exceptional skills in personalized medicine, early disease detection, and predictive analytics. Furthermore, telemedicine and remote patient m…

Health

Evidence-backed gain

The Impact of Chatbots on Adolescent Mental Health Development: A Comprehensive Literature Review

The integration of artificial intelligence (AI) chatbots in adolescent mental health care represents a transformative shift in how digital interventions address psychological well-being among young populations. This comprehensive review synthesizes evidence examining the multifaceted impact of chatbot technology on adolescent mental health development. A systematic search was conducted across PubMed, PsycINFO, Web of Science, and Scopus databases using terms related to chatbots, conversational agents, adolescent…

Health

Both readings

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

Family caregivers of individuals with Alzheimer’s Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. Although recent advances in generative AI—particularly large language models (LLMs)—offer new opportunities to support mental health, little is known about how caregivers perceive and engage with such technologies. To address this gap, we developed Carey, a GPT-4o–based chatbot designed to provide info…

Health

The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

ABSTRACT The advancement of Generative Artificial Intelligence (GenAI) is complicating traditional techniques in English for Academic Purposes (EAP) instruction. This paper proposes a novel adaptation of an existing scale (the AI Assessment Scale), which is designed to facilitate effective learning and assessment in the era of GenAI. We label this the EAP AI Assessment Scale (EAP‐AIAS). The EAP‐AIAS consists of five levels, ranging from “No AI” to “Full AI,” each delineating appropriate GenAI usage in EAP tasks.…

Education

The EAP‐AIAS: Adapting the AI Assessment Scale for English for Academic Purposes

Data-Centric Foundation Models in Computational Healthcare: A Survey

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models, guided by pre-training data and human instructions, has ignited a data-centric AI paradigm that emphasizes better data characterization, quality, and scale. In healthcare AI, obtaining and processing high-quality clinical data records has been a longstanding challenge, encompassing data quantity, annotation, patient privacy, and ethics…

Health

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

The risks posed by artificial intelligence (AI) concern academics, auditors, policymakers, AI companies, and the public. Researchers, policymakers, and technology companies discuss AI risks using inconsistent terminology-the same word may describe different problems, while different words describe identical concerns. This fragmentation impedes coordinated responses to AI challenges. We address this by creating the AI Risk Repository: a living database of 1,725 risks extracted from 74 existing taxonomies and fram…

Business

Sustainable adoption of artificial intelligence and the Metaverse in higher education: an environmental, social, and governance–based analysis of pedagogical innovation and perceived student learning outcomes

The rapid convergence of Artificial Intelligence (AI) and Metaverse technologies is reshaping the higher education landscape by enabling immersive, personalized, and adaptive learning experiences. However, the long-term sustainability of such innovations remains uncertain without addressing environmental, social, and governance (ESG) considerations. This study develops and empirically validates an ESG-informed framework for Sustainable AI-Metaverse Adoption (SAAM) in higher education. A quantitative research des…

Education

Navigating opportunities and challenges of generative AI in higher education: towards responsible, equitable, and human-centered integration

The rapid emergence of generative AI (GenAI) tools, such as ChatGPT, presents transformative potential for higher education (HE) while also raising significant ethical, pedagogical, and policy- related concerns. This systematic and thematic review, based on 46 documents from the Web of Science (WoS), narrows its qualitative analysis to 27 peer-reviewed articles to explore key trends in implementation. Findings highlight GenAI's benefits in improving personalized learning, self-regulated strategies, and adaptive…

Education

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

• AI-driven pollution detection enhances environmental protection. • Real-time monitoring facilitates prompt interventions for pollution prevention. • Accurate air quality forecasting aids in planning pollution-reducing activities. • AI's role in smart cities fosters sustainable urban development. • AI algorithms integrate diverse data sources for pollution detection. The application of Artificial Intelligence (AI) in environmental monitoring offers accurate disaster forecasts, pollution source detection, and co…

Climate

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions

<scp>AI</scp>‐driven adaptive learning for sustainable educational transformation

Abstract This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, and efficient as well as leading people to accepting, addressing, and mitigating sustainable development. Recently, education witnessed a remarkable technological surge driven by various advances in technology, which can be demonstrated by the increase of the number of scientific publications on this topic from just 1 in 1990 to 636 in 2023.…

Education

<b>NEURAL NETWORKS FOR REAL-TIME FINANCIAL FRAUD DETECTION</b>

The accelerating digitalization of financial services has transformed fraud into a systemic global threat, with annual losses estimated at $485.6 billion in 2023 alone — losses that conventional rule-based and statistical detection methods have proven structurally incapable of containing. This article presents a narrative literature review examining how neural network architectures are redefining real-time fraud detection in financial systems. The review covers the theoretical and epistemological foundations of…

Crime