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Showing posts from May, 2024

Digital inclusion network development: A case study in Derbyshire

A team led by Lecturer Dr Sharon Wagg has produced a case study on digital inclusion for The British Academy. The team also includes Dr Sara Vannini and Dr Efpraxia Zamani. This case study is part of a wider project on digital technology and inequality, which identified 5 lessons for policymakers at local, regional and national levels. Read the case study here .

Will AI replace librarians? LILAC 2024 student blog

A month ago I had the amazing opportunity to attend LILAC 2024 at Leeds Beckett University through a bursary funded by the Information School.  This was my first ever conference, and I was unsure what to expect. I was very excited, quite nervous, and felt a little over my head as a distance learning student who has only been working as a health librarian for just over a year.  But those nerves were definitely unfounded! I had an amazing time and gained so much from listening to and speaking with librarians that boast years of experience across multiple sectors. As expected of a room full of passionate librarians and information researchers, everyone was so friendly and approachable, and any apprehension I had quickly dissolved after the first hour. LILAC emblematised the power of the librarian community. I felt assured in my quest to become a qualified librarian after experiencing how everyone at the conference was so willing to share their experiences and best practices with e

Public Voices in AI

Public Voices in AI is a new project which aims to ensure that public voices are front and centre in artificial intelligence research, development and policy. UK Research and Innovation (UKRI) is investing £850,000 in Public Voices in AI, led by the  Digital Good Network  at the University of Sheffield. Professor Helen Kennedy, Director of the ESRC Digital Good Network, will be the project lead, with support from Dr Ros Williams, Digital Good Network Associate Director. Dr Susan Oman of The Information School leads the evidence review work package to understand how public voices are currently included in responsible AI research policy and practice. This work package will:  draw evidence together (academic, grey, other literatures) review evidence production (methods, motivations, money)  categorise and assess how public voices have been included develop an open and accessible database that is findable and reusable (according to FAIR principles ) for stakeholders across the RAI communit