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About: Artificial Intelligence (AI) refers to the creation and use of systems, programs, and machines capable of exhibiting human-like intelligence through functions such as reasoning, learning, and knowledge representation. This expansive field includes subareas like voice and image recognition, natural language processing, robotics, and expert systems, each utilizing various programming techniques. Definitions of AI can differ over disciplines; for computer scientists, it involves developing intelligent programs, while engineers focus on building machines that perform tasks traditionally done by humans. Cognitive scientists study AI to better model and understand human intelligence. The history of AI dates back to the mid-20th century, with significant milestones including the invention of the Lisp programming language and the development of early expert systems. Modern AI applications are diverse, ranging from intelligent tutor systems and automated theorem provers to gaming and healthcare technologies. As AI continues to evolve, ethical considerations neighbouring its use, such as privacy and automation's impact on employment, become increasingly pertinent. The future of AI promises both advancements in technology and important discussions about moral responsibility and regulation in society.

About: The provision of nursing care over the globe is confronted with a range of challenges, including the surge in the older persons population which amplifies the reliance on nursing services and exacerbates the shortage of nurses worldwide. A possible solution could be the broader implementation of robotics in nursing practice. Therefore, this umbrella review aimed to assess and synthesise systematically reviewed evidence on the utilisation of robots in nursing practice. An extensive search of nine relevant databases was conducted for research syntheses. They included reviews that reported the experiences of nurses, perceived benefits and challenges of using robots in nursing practice in all care settings and published between the years 2012 and 2022. A supplementary search was conducted in October 2024 using the same criteria. Quality appraisal, data extraction and syntheses were carried out according to Joanna Brigg’s Institute’s guidelines for undertaking umbrella reviews. The protocol of this umbrella review was registered on PROSPERO prior to the commencement of the review (Registration ID CRD42022361835). Thirteen reviews (representing 558 studies) were included following the quality appraisal. The evidence was summarised in narrative form with supporting quotes from the reviews. The findings were grouped into categories, which were further categorised into three main synthesised findings: ‘Documented experiences of nurses in using robots’, ‘perceived benefits of using robots’ and ‘perceived challenges of using robots’. To the finest of their knowledge, this is the first umbrella review that synthesised evidence on the experiences and perceptions of nurses regarding the use of robots. This umbrella review has limitations as it is not the primary source of evidence, relying on the quality of the included reviews and studies. Evidence shows that there is a perception that robots can support nurses in their work. However, there is not enough experiential evidence from nurses who work with robots in practice to support this. There are also perceived challenges that are of concern to nurses, particularly in relation to liability, ethical dilemmas and patient safety. The authors have no competing interests to declare in the conduct of this review.

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About: Artificial Intelligence supporting learning On a daily basis, they unconsciously use more and more artificial intelligence devices: credit cards, social networks, intelligent personal assistants, weather forecasts, etc. Solutions based on AI are also developing in Education for both learners and teachers. They aim to help teachers make decisions and to improve

About: Artificial intelligence systems have the capability to exploit existing systemic inequalities due to the ease for bias to seep in. Photo Credit: Geralt/Pixabay When many people think of artificial intelligence (AI) systems, they think of robots or self-driving cars.  AI often elicits a sense of amazement, of wonder, of possibility for the future.  But just…

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About: Invit des ateliers de lintelligence numrique qui se sont drouls Metz mardi 14janvier, le coprsident du conseil national du numrique Gilles Babinet a tenu une confrence intitule: Dmystifier lintelligence artificielle: enjeux, ralits et perspectives. Loccasion de lever de nombreux voiles sur les interrogations que suscite lIA.

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