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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
- Date: Wed, 8 Jan 2020 10:09:46 +0000
- From: Kempf Andreas via InetBib <inetbib@xxxxxxxxxx>
- Subject: [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.
Theme
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
considerations.
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
training.
Full details are available at
https://2020.ifla.org/cfp-calls/knowledge-management-joint-with-subject-analysis-and-access/
Mit vielen Grüßen und den besten Wünschen für das neue Jahr.
Andreas Kempf
--
DR. ANDREAS OSKAR KEMPF
Wissenschaftliche Dienste
Taxonomie- und Thesaurusmanagement
ZBW - Leibniz-Informationszentrum Wirtschaft
Neuer Jungfernstieg 21
20354 Hamburg
Germany
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
www.zbw.eu<http://www.zbw.eu>
Listeninformationen unter http://www.inetbib.de.