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Abstract

Personal data play a fundamental role in contemporary socioeconomic dynamics, with one of its primary aspects being the potential to facilitate discriminatory situations. This situation impacts the knowledge organization field especially because it considers personal data as elements (facets) to categorize persons under an economic and sometimes discriminatory perspective. The research corpus was collected at Scopus and Web of Science until the end of 2021, under the terms "data discrimination", "algorithmic bias", "algorithmic discrimination" and "fair algorithms". The obtained results allowed to infer that the analyzed knowledge domain predominantly incorporates personal data, whether in its behavioral dimension or in the scope of the so-called sensitive data. These data are susceptible to the action of algorithms of different orders, such as relevance, filtering, predictive, social ranking, content recommendation and random classification. Such algorithms can have discriminatory biases in their programming related to gender, sexual orientation, race, nationality, religion, age, social class, socioeconomic profile, physical appearance, and political positioning.

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Content

Enthält die Beiträge: COOLEY, M.: Visions and problems of the post-industrial society; GILL, K.S.: Knowledge and the post-industrial society; LYTJE, I.: Media and the cultural condition: language and education; WHISTON, T.: Knowledge and sustainable development: towards the furtherance of a global communication system; SHIPLEY, P.: The keyboard blues: modern technology and the rights and risks of people at work; LEAL, F.: Ethics is fragile, goodness is not; HIROSE, L.M.: Organisational spaces and intelligent machines: a metaphorical approach to ethics; THORPE, J.: Information system design: human centres approaches; BESSELAAR, P. van den u. T. MOM: Technological change, social innovation and employment; JONES, M.: Empowerment and enslavement: business process reeingineering and the transformation of work; LEVY, P.: The role of creativity in post-industrial society: exploring the implications of non-conventional technologies for work and management organisation; JANSEN, A.: The global information society and rural economics; DAY, P.: Information communication technology and society: a community-based approach; CYSNE, F.P.: Technology transfer and development; COOPER, J.: Information, knowledge and empowerment: the role of information in rural development; CLAY, J.: Participative citizenry in the information ages: the role of science and technology towards democratic education in a multicultural society; TAYLOR, J.: New media and cultural representation; BLACK, M.T.: Consensus and authenticity in representations: simulation as participative theatre; GORAYSKA, B. u. J.L. MEY: Cognitive technology; BOYNE, C.W.: Electronic mail, IT productivity and workplace culture; Squires, P.: Deadly technology in the post-industrial society: a case study of firearms and firearms control; COLE, M. u. D. HILL: Resitance postmodernism: emancipatory politics for a new era or academic chic for a defeatist intelligentsia?; McFEE, G.: Postmodernism, dance and post-industrial society; MULLER, R.C.: Creativity constellation for innovation and cooperation

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Abstract

To start off I would like to briefly address the relationship between indexing and classification, which are very technical activities performed by information professionals, and the concept of social responsibility (the focus of this conference), which refer to the human side of the profession. Although indexing and classification involve many technicalities, the basic objective of these activities is to provide access to informationbearing objects, thereby contributing to the social process of information transfer. Information transfer takes place between authors (creators of information- bearing objects) and information users. The authors have something to communicate, and the users have information needs that must be satisfied by the information professional acting as intermediary. In the process of facilitating this information transfer the indexer and classifier therefore has a responsibility towards both authors and information users. Authors can expect the information professional to represent their creations as accurately and exhaustively as possible in retrieval systems, within the constraints of time and cost. Users can expect the information professional to index and classify in such a way as to ensure that information that can satisfy their information needs will be retrievable within the shortest time and with the least effort possible. One can also see the social responsibility of indexers and classifiers in a broader context. They do not only have a responsibility towards specific authors and users, but also towards communities as a whole, e.g. the scientific community, the business community, or society at large. In the case of the scientific community effective transfer of information about advances in research can be seen as essential for the progress of science. Providing effective and suitable information retrieval systems to make this transfer possible can therefore be seen as a responsibility of information professionals. In a business enterprise the effective organization of business records and other business information sources can make a significant contribution to the smooth operation of the enterprise, may be essential for legal purposes, and can enable management to use the information for decision-making at all levels. The information manager therefore has a responsibility towards the enterprise to properly organize and index all these resources.