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877 published stories · page 31 of 59

Evidence-backed problem

Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions

Generative artificial intelligence (AI) has transformed music production from a specialist studio practice into a prompt-based, platform-mediated activity in which songs, lyrics, voices, and genre markers can be produced almost instantly. This article repositions the debate about AI music within the intersection of language, technology, and social media by examining folk and rock music as communicative traditions rather than merely sonic products. Using a qualitative critical-hermeneutic design, the study analyz…

Language, Technology, and Social Media · Media & Arts

Reclaiming the Humanities in AI-Generated Music: Language, Identity, and Social Media Circulation in Folk and Rock Traditions

Evidence-backed gain

Advances in machine learning and IoT for water quality monitoring: A comprehensive review

Water holds great significance as a vital resource in our everyday lives, highlighting the important to continuously monitor its quality to ensure its usability. The advent of the. The Internet of Things (IoT) has brought about a revolutionary shift by enabling real-time data collection from diverse sources, thereby facilitating efficient monitoring of water quality (WQ). By employing Machine learning (ML) techniques, this gathered data can be analyzed to make accurate predictions regarding water quality. These…

Climate

Evidence-backed gain

I used Google AI Mode to create new YouTube Music playlists instantly - and these 7 prompts helped me find new music faster than ever

With YouTube Music becoming one of Google AI Mode’s new Connected Apps, I used these 7 prompts to create new playlists and discover a wealth of new artists & music

Media & Arts

Evidence-backed problem

Peterborough music community divided over AI use for concert posters

Some musicians and artists in Peterborough are pushing back on the use of artificial intelligence to create concert posters and other musical promotions.

Media & Arts

Evidence-backed gain

AI job worries grow. But some human skills can’t be replaced by machines | Gaynor Parkin and Dave Winsborough

Earlier this year Paul* discovered via a flurry of media stories that his business group had been targeted for job cuts, alongside a number of other public-sector agencies. For him, this was the second time, after his technical management role was restructured in 2024. While that process was difficult enough, the comms this time were highlighting the integration of AI as a cost-saving tool. “They say it’s not about firing people, but hey, my whole team will go.” For Paul, the timing could not have been worse. He…

Labor

Both readings

Exploring the opportunities and challenges of ChatGPT in academia

Abstract The Artificial Intelligence (AI) natural language model ChatGPT (Chat Generative Pre-trained Transformer), often referred to as ChatGPT-4, has a wide range of possible uses in the fields of research, business, academia, health, and similar fields. This language model can accomplish a number of academic jobs that were previously completed by people, taking a significant amount of time and effort. The purpose of the article is to investigate ChatGPT’s potential opportunities and challenges in academia. To…

Education

Evidence-backed problem

Enabling access or automating empathy? Using chatbots to support GBV survivors in conflicts and humanitarian emergencies

Abstract Interest in the use of chatbots powered by large language models (LLMs) to support women and girls in conflicts and humanitarian crises, including survivors of gender-based violence (GBV), appears to be increasing. Chatbots could offer a last-resort solution for GBV survivors who are unable or unwilling to access relevant information and support in a safe and timely manner. With the right investment and guard-rails, chatbots might also help treat some symptoms related to mental health and psychosocial c…

Health

The compassion illusion: Can artificial empathy ever be emotionally authentic?

Artificial Intelligence (AI) has moved beyond calculation and cognition into the domain of emotion and experience. Once confined to logical operations, AI systems now speak the language of emotiondetecting, labeling, and even simulating human affect with increasing accuracy (Huang et al., 2023). From chatbots that offer comfort to users in distress to voice assistants that detect sadness in tone, we now inhabit an age where machines perform empathy. The emergence of affective computingtechnologies capable of rec…

Lifestyle

The compassion illusion: Can artificial empathy ever be emotionally authentic?

A survey on large language model based autonomous agents

Abstract Autonomous agents have long been a research focus in academic and industry communities. Previous research often focuses on training agents with limited knowledge within isolated environments, which diverges significantly from human learning processes, and makes the agents hard to achieve human-like decisions. Recently, through the acquisition of vast amounts of Web knowledge, large language models (LLMs) have shown potential in human-level intelligence, leading to a surge in research on LLM-based autono…

Science

Generative AI in healthcare: an implementation science informed translational path on application, integration and governance

BACKGROUND: Artificial intelligence (AI), particularly generative AI, has emerged as a transformative tool in healthcare, with the potential to revolutionize clinical decision-making and improve health outcomes. Generative AI, capable of generating new data such as text and images, holds promise in enhancing patient care, revolutionizing disease diagnosis and expanding treatment options. However, the utility and impact of generative AI in healthcare remain poorly understood, with concerns around ethical and medi…

Health

A generative AI teaching assistant for personalized learning in medical education

Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, while students increasingly adopt unvalidated Generative AI (GenAI) tools for individualized learning support. This study investigated how medical students integrate constrained GenAI systems into their self-directed learning practices using Retrieval-Augmented Generation (RAG), which limits large language model responses to instructor-curated materials, thereby reducing hallucinations while maintaining peda…

Education

Artificial intelligence in undergraduate medical education: an updated scoping review

BACKGROUND: The irrevocable alteration of medical education due to widespread access to large language models (LLMs) in 2022, and the concomitant surge in AI-related literature, has prompted us to update the evolving impact of AI on undergraduate medical education (UGME). METHODS: The scoping review adhered to the framework of Arksey and O'Malley. A literature search was conducted in April 2024 on PubMed, Scopus, Web of Science Core Collection, ERIC, and Google Scholar using the terms "UGME", "medical students",…

Health

Deepfake Technology and Gender-Based Violence: A Scoping Review

Online violence against women (OVAW) is a growing global problem with deepfakes in gender-based violence as one manifestation of this that has recently attracted considerable attention. This scoping review aims to explore emerging complexities in current academic understandings of deepfake in relation to its use in gender-based violence. The review considers how these issues impact and shape what is currently known about deepfakes in relation to OVAW. Articles were collected between July and September 2024 and t…

Science

LLMs for Cybersecurity in the Big Data Era: A Comprehensive Review of Applications, Challenges, and Future Directions

This paper presents a systematic review of research (2020–2025) on the role of Large Language Models (LLMs) in cybersecurity, with emphasis on their integration into Big Data infrastructures. Based on a curated corpus of 235 peer-reviewed studies, this review synthesizes evidence across multiple domains to evaluate how models such as GPT-4, BERT, and domain-specific variants support threat detection, incident response, vulnerability assessment, and cyber threat intelligence. The findings confirm that LLMs, parti…

Crime

Navigating the Complexity of Generative AI Adoption in Software Engineering

This article explores the adoption of Generative Artificial Intelligence (AI) tools within the domain of software engineering, focusing on the influencing factors at the individual, technological, and social levels. We applied a convergent mixed-methods approach to offer a comprehensive understanding of AI adoption dynamics. We initially conducted a questionnaire survey with 100 software engineers, drawing upon the Technology Acceptance Model, the Diffusion of Innovation Theory, and the Social Cognitive Theory a…

Labor