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[InetBib] CfP: Subject Access and Artificial Intelligence: Enhancing competencies and safeguarding ethics - Joint open session of the IFLA sections 'Knowledge Management' and 'Subject Analysis and Access' at the 2020 IFLA WLIC Conference in Dublin

Liebe Kolleginnen und Kollegen,

ich möchte Sie gerne auf einen Call for Paper zu einer gemeinsamen sog. Open 
Session der beiden IFLA Sektionen Knowledge Management und Subject Analysis and 
Access aufmerksam machen.

With apologies for cross-posting.

Subject Access and Artificial Intelligence: Enhancing competencies and 
safeguarding ethics

Digital technologies of all its sorts have given rise to wider considerations 
and applications of Artificial Intelligence (AI) in library and information 
environments. In particular, the exponential growth of data, information and 
knowledge can no longer be managed by libraries, research centres and similar 
institutions via traditional means. AI operates via algorithms that restrict 
freedom of choice, changing the ways in which public users (externally) and 
library professionals and workers (internally) access resources.

Historically, two important aspects of our profession have been to understand: 
a) the user's information needs and b) ways in which users interact with 
resources. AI-based solutions may assist or altogether replace manual 
procedures traditionally developed and performed by trained, educated 
professionals. Thus, the library and information sciences field must empower 
subject librarians to draw upon and evaluate their own unique skill set for the 
discovery and analysis of AI's advantages and disadvantages, including ethical 
We - the Knowledge Management Section<https://www.ifla.org/km> and the Subject 
Analysis and Access Section<https://www.ifla.org/subject-analysis-and-access> 
invite papers on the following range of topics dealing with subject access and 
application of AI in the library domain.

·         Technological and practical issues with applications of AI in subject 
analysis and access in libraries including applications of data analysis, 
automatic indexing, machine learning, transforming big data into meaningful 
semantic data and data visualization;

·         Ethical challenges in subject access and impact of AI and automatic 
categorization/classification on creativity, freedom of choice and privacy in 
resource discovery. Including: recognizing misuse and manipulation of 
algorithms and biases in the choice of training sets; preventing discriminatory 
outcomes in machine learning, risks of censorship or biases and risks to 
information integrity;

·         Ethical challenges in application of traditional knowledge 
organization systems and vocabulary control in library collections vs Ethical 
challenges in designing and applying algorithms in automatic classification and 
resource discovery;

·         Enhancing subject analysis and knowledge organization systems' skills 
in supporting decision making and improving practices in libraries in the 
context of AI; discussing principles and values guiding the development and use 
of AI in knowledge organization and subject indexing and access in integrated 
and/or digital library systems; identifying knowledge organization and subject 
access expertise

·         Evaluating the role of subject access in improving user experience 
and usability of library collections and assessing transferability of these 
skills into the new technological environment; evaluating potential impact of 
AI on libraries with respect to design and implementation of new technologies 
and how this affects staff, necessary competencies and skills, education and 

Full details are available at 

Mit vielen Grüßen und den besten Wünschen für das neue Jahr.

Andreas Kempf



Wissenschaftliche Dienste
Taxonomie- und Thesaurusmanagement

ZBW - Leibniz-Informationszentrum Wirtschaft

Neuer Jungfernstieg 21

20354 Hamburg


T: +49 40 42834-459

F: +49 40 42834-299

E: a.kempf@xxxxxx<mailto:a.kempf@xxxxxx>

ORCID: http://orcid.org/0000-0002-4827-8103

GND-ID: http://d-nb.info/gnd/1027004644


Listeninformationen unter http://www.inetbib.de.