Search (2 results, page 1 of 1)

  • × theme_ss:"Informationsethik"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. San Segundo, R.; Martínez-Ávila, D.; Frías Montoya, J.A.: Ethical issues in control by algorithms : the user is the content (2023) 0.00 
    0.002916722 = product of:
  0.017500332 = sum of:
    0.017500332 = product of:
      0.035000663 = sum of:
        0.035000663 = weight(_text_:web in 1132) [ClassicSimilarity], result of:
          0.035000663 = score(doc=1132,freq=4.0), product of:
            0.11439841 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03505379 = queryNorm
            0.3059541 = fieldWeight in 1132, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.046875 = fieldNorm(doc=1132)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)
    Abstract
    In this paper we discuss some ethical issues and challenges of the use of algorithms on the web from the perspective of knowledge organization. We review some of the problems that these algorithms and the filter bubbles pose for the users. We contextualize these issues within the user-based approaches to knowledge organization in a larger sense. We review some of the technologies that have been developed to counter these problems as well as initiatives from the knowledge organization field. We conclude with the necessity of adopting a critical and ethical stance towards the use of algorithms on the web and the need for an education in knowledge organization that addresses these issues.
  2. Bagatini, J.A.; Chaves Guimarães, J.A.: Algorithmic discriminations and their ethical impacts on knowledge organization : a thematic domain-analysis (2023) 0.00 
    0.001718695 = product of:
  0.01031217 = sum of:
    0.01031217 = product of:
      0.02062434 = sum of:
        0.02062434 = weight(_text_:web in 1134) [ClassicSimilarity], result of:
          0.02062434 = score(doc=1134,freq=2.0), product of:
            0.11439841 = queryWeight, product of:
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.03505379 = queryNorm
            0.18028519 = fieldWeight in 1134, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.2635105 = idf(docFreq=4597, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1134)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)
    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.

Authors