Artificial intelligence (AI) is poised to reshape mental health practices, policies and research in the coming decade. Simultaneously, mental health inequalities persist globally, imposing considerable costs on individuals, communities and economies. This study aims to investigate the impact of AI technologies on future citizenship for individuals with mental health challenges (MHCs). To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
his paper presents an extensive literature and review analysis that examines AI projects implemented in library and archives settings, asking the following research questions: RQ1: How is artificial intelligence being used in libraries and archives practice? RQ2: What ethical concerns are being identified and addressed during AI implementation in libraries and archives? The results of this literature review show that AI implementation is growing in libraries and archives and that practitioners are using AI for increasingly varied purposes. We found that AI implementation was most common in large, academic libraries. Materials used in AI projects usually involved digitized and born digital text and images, though materials also ranged to include web archives, electronic theses and dissertations (ETDs), and maps. AI was most often used for metadata extraction and reference and research services
This study makes use of the facet analysis technique and draws upon various sources of data and information to develop a taxonomy of AI literacy. The research consists of the following key steps: a comprehensive review of the literature published on AI literacy research, an examination of well-known AI classification schemes and taxonomies, a review of prior research on data/information/digital literacy research and a qualitative and quantitative analysis of 1,031 metadata records on AI literacy publications [do we want to try to get full text of this?]
development of ‘Prepare to Progress’, a preapplication programme for potential Student Nursing Associate (SNA) applicants at Gloucestershire Hospitals NHS Foundation Trust. Created collaboratively by the Trust's Library and Knowledge Services and Professional Education teams, the programme aims to provide realistic course expectations, teach study skills and boost confidence in using library services
Short nursing editorial summarises issues with searching using Chat GPT and similar AI. It also has a paragraph suggesting how you can use generative AI in scholarly writing. Could be a useful one to quote in search training.
Technologies using artificial intelligence to recognize people’s emotional states...emotional recognition technologies...claim to identify people’s emotional states based on data, like facial expressions...technologies are founded on bad science...not possible to correctly identify people’s emotions...can be harmful...especially for autistic workers...this article looks at...technologies to show how autistic people...may be disadvantaged or harmed by the development and use of the technologies. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
We assessed the ability of ChatGPT (generative artificial intelligence-based large language model) to predict DDIs in a real-world setting... Low sensitivity values suggest a lack of success in identifying DDIs by ChatGPT, and further development is required before it can reliably assess potential DDIs in real-world scenarios. Open access article - no login required
Librarians for Nuclear Arms Control (LNAC) is a non-profit, non-partisan organization open to librarians, library educators, library aides, and paraprofessionals who share a common concern about the risk of nuclear war. The group seeks to pool the professional skills oi its members to reduce the likelihood of a nuclear holocaust. For further information, contact LNAC, 311 E. Glenarm Street, #8, Pasadena, CA 91106.
This paper aims to explore how the term “mental health literacy” (MHL) is defined and understand the implications for public mental health and educational interventions. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
Current scales are often lengthy and redundant, leading to exhaustion and response burden. The goal is to use machine learning techniques, specifically item-reduction methods and selection algorithms, to develop shorter and more efficient scales. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
The aim of this study was to assess the ChatGPT-4 (ChatGPT) large language model (LLM) on tasks relevant to community pharmacy. To read the full article, choose Open Athens “Institutional Login” and search for “Midlands Partnership”.
B. Czerny, M. Zajaček, M. Naddaf, M. Sniegowska, S. Panda, A. Różanska, T. Adhikari, A. Pandey, V. Jaiswal, V. Karas and 3 other author(s). (2022)cite arxiv:2211.11022Comment: Partially based on talk at 31st Symposium on the Physics of Ionized Gases in Belgrade, submitted to the European Physical Journal D Topical Issue: "Physics of Ionized Gases and Spectroscopy of Isolated Complex Systems: Fundamentals and Applications".