About Us | Contact Us | Print Page | Sign In | Join now
UKeiG CPD Course: Artificial intelligence for librarians, information and knowledge professi
Tell a Friend About This EventTell a Friend
UKeiG CPD Course: Artificial intelligence for librarians, information and knowledge professi

UKeiG CPD: Artificial intelligence for librarians, information and knowledge professionals, presented by Andrew Cox and Suvodeep Mazumdar.

12/02/2025
When: Wednesday 12th February 2025
1 p.m. to 4 p.m.
Where: Zoom CPD Course
United Kingdom
Presenter: Andrew Cox and Suvodeep Mazumdar
Contact: Gary Horrocks
info.ukeig@cilip.org.uk

« Go to Upcoming Event List  


Book now

UkeiG

UKeiG CPD Zoom Course: Artificial intelligence for librarians, information and knowledge professionals

Wednesday, 12th February 2025 - 1 pm to 4 pm

 

Overview

Artificial Intelligence (AI) has provided daily news headlines over the last six months, sparking curiosity but also uncertainty, even anxiety.

There is hype, but also hope.

It is a key professional issue touching on every aspect of the work of the library and information science community, with relevance to the critical appraisal of content validity, data quality and management, ethics, intellectual property, plagiarism and legal compliance.

This three-hour workshop seeks to inform delegates about the nature of AI and to get to grips with how to use it responsibly.

We have had exposure to forms of AI for many years using functions like predictive text, autocorrection, grammar checking, personalised recommendation, search ranking, captioning, automated transcription and translation.

Many database vendors are incorporating AI into their products. The library and information community has relevant experience through the support of text and data mining, of data science and digital humanities, the promotion of data literacy, and in the use of learning and library analytics. These are only the beginning of exciting developments that may well impact information work profoundly in areas like knowledge discovery through to analysing, even predicting, user behaviour. Information professionals may have roles in evaluating systems and products using AI, generating metadata and training users to navigate AI based search systems, and acquire data/AI literacy.

This workshop is an introduction to AI designed specifically for library, information and knowledge professionals to enable them to get up to speed on this critical topic. As well as introducing the applications of AI in an accessible way, part of the course is designed to give delegates an insight into what is involved ‘under the hood’ of AI applications. We aim to provide you with theoretical and practical experience of working with some AI tools.

Who should attend?

This workshop is ideal for any library, information and knowledge professional interested in developing an understanding of AI as it applies to their work.

 

Course outline and learning outcomes

The course will enable you to:

  • Understand the concept of AI and its application in information service contexts
  • Acquire an appreciation of AI technology and AI literacy
  • Acquire a broad overview of standard AI methods and approaches
  • Benefit from hands-on experience with some machine learning tools
  • Build knowledge and confidence to go forward to learn more.

Topics covered include:

  • Exploring definitions of AI, and how it might be applied to the work of information
    professionals
  • What is AI literacy?
  • The ethics of responsible AI
  • An overview of Machine Learning approaches and methods
  • The fundamental concepts in Machine Learning using Jisc’s Explore AI toolset
  • A hands-on session exploring one of the most relevant machine learning methods (text classification), working through a set of Python scripts to give participants an insight into what’s involved in coding for AI
  • A discussion of the range of roles for information professionals in AI and the skills, values and vision needed
  • Further reading and resources.

 

 

Speakers

Workshop leaders

Andrew Cox

Andrew Cox is a senior lecturer at the Information School, University of Sheffield, and author of his independently researched report - ‘The Impact of AI, machine learning, automation and robotics on the information profession’ - published by CILIP in 2020. It called for a ‘joined-up and coherent response from information professionals, enabling us to maximise the benefits of AI, machine learning, automation and robotics for information users while mitigating the emerging risks.’

He is convenor of the IFLA special interest group on AI and the chair elect of the ASIS&T SIG on AI.

Suvodeep Mazumdar

Suvodeep Mazumdar is a Lecturer in the Information School at the University of Sheffield. His primary research interest is Big Data Analytics and Crowdsourcing. He conducts inter-disciplinary research on highly engaging, interactive and visual mechanisms in conjunction with complex querying techniques for seamless navigation, exploration and understanding of complex datasets and has applied his research in various application domains (such as health informatics, smart cities, emergency response etc.). 

 

.

 
 

Booking and payment

The course (including presentation slides and documentation) costs:

UKeiG/CILIP members £50 + VAT

Employer Partner staff £64 +VAT (Please contact your rep or email employerpartners@cilip.org.uk for the discount code)

Non-members £80 + VAT

Credit and debit cards are the preferred method of payment. Invoices are available on request using the online ‘bill me’ option.

If you require information about booking and payment please contact Gary Horrocks at info.ukeig@cilip.org.uk

 

Venue Details

Zoom Webinar Online

 

 

 

 


 

 

This website uses cookies to store information on your computer. Some of these cookies are used for visitor analysis, others are essential to making our site function properly and improve the user experience. By using this site, you consent to the placement of these cookies. Click Accept to consent and dismiss this message or Deny to leave this website. Read our Privacy Statement for more.