LIBER is excited to announce a brand new workshop series on the topic of ‘Applying and deploying Artificial Intelligence (AI) in GLAMs’.
The aim of the workshops is to provide training opportunities for those interested in applying and deploying Artificial Intelligence (AI) in Libraries, Galleries, Archives, and Museums.
The series will bring together a diverse community of experts with subject and domain expertise, as well as technologists across GLAM institutions for a collaborative learning event to share tools and experiences and to reflect on the process of applying AI and its implications for GLAM institutions.
Details of the Workshops
You can find the details of each workshop as well as how to register below:
29 March 2021 (18:00-20:00 CEST) – The Role of Data Curation in AI
host: Stanford University Libraries
What is Machine Learning and what role does data play? How is the data used to train AI models? What kinds of decisions do librarians make in the process of data curation and how might these impact machine-generated predictions? This workshop will take a project-based approach to explore the importance of data curation in machine learning outcomes.
The speakers will explore how data is thought of in a data science context and how that maps to library practices. Concerns of data bias will be considered including data provenance (What is the history and context of the source material?), defining the boundaries of a data set (Who is in and who is out?) and feature engineering (What is relevant and what is not?).
30 March 2021 (15:00-17:00 CEST) – Beta Test of Library Carpentry Introduction to AI and Machine Learning
host: Smithsonian Data Science Lab
31 March 2021 (15:00-17:00 CEST) – Historical Newspaper Content Mining: findings from the impresso project
1 April 2021 (18:00-20:00 CEST) – Introduction to visual AI in GLAMs
2 April 2021 (15:00-17:00 CEST) – Introduction to Spark for Machine Learning