
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
  <dc:subject xml:lang="srp">Ključne reči: Veštačka inteligencija, AI, mašinsko učenje, ML, diskriminacija, obrazovanje, etika.</dc:subject>
  <dc:subject xml:lang="eng">Key Words: Artificial Intelligence, AI, Machine Learning, ML, Discrimination, Education, Ethics. </dc:subject>
  <dc:language>srp</dc:language>
  <dc:creator id="https://orcid.org/0000-0003-4001-3159">Gradojević, Nikola</dc:creator>
  <dc:creator>Ralević, Nebojša</dc:creator>
  <dc:creator>Đaković, Vladimir</dc:creator>
  <dc:title xml:lang="srp">VEŠTAČKA INTELIGENCIJA I MAŠINSKO UČENJE – TRENDOVI RAZVOJA ETIČKIH PRIMENA</dc:title>
  <dc:title xml:lang="eng">ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – TRENDS IN DEVELOPING ETHICAL APPLICATIONS </dc:title>
  <dc:identifier>https://unilib.phaidrabg.rs/o:5479</dc:identifier>
  <dc:identifier>ISBN: 978-86-6022-635-0</dc:identifier>
  <dc:format>application/pdf</dc:format>
  <dc:format>758126 bytes</dc:format>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:date>2024</dc:date>
  <dc:source>XXX Skup TRENDOVI RAZVOJA: “ NASTAVNICI I SARADNICI KAO CENTAR PROMENA U VISOKOM OBRAZOVANJU”</dc:source>
  <dc:source>vol. 30</dc:source>
  <dc:source>str. 189-192</dc:source>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:description xml:lang="srp">Sažetak: Predmet istraživanja u ovom radu je analiziranje izazova i mogućih problema koje primena
veštačke inteligencije i mašinskog učenja neminovno donose. Cilj istraživanja predstavlja identifikovanje postojanja
diskriminacije u primeni veštačke inteligencije i mašinskog učenja u obrazovanju sa mogućnostima prevazilaženja
uočenih nedostataka, i to naročito kod prediktivnih i klasifikacionih modela. Rezultati istraživanja u radu su od
značaja kako profesionalnoj javnosti, tako i kreatorima politika u predmetnoj oblasti, naročito u funkciji
dijagnostikovanja potencijalne diskriminacije i neetičnosti u primeni veštačke inteligencije i mašinskog učenja.
</dc:description>
  <dc:description xml:lang="eng">Abstract: The research objective of this paper is to analyze the challenges and potential problems that
artificial intelligence and machine learning applications may inevitably involve. This research aims at identifying
the existence of discrimination in the applications of artificial intelligence and machine learning in education with
the possibility of overcoming the possible shortcomings, especially in the case of predictive and classification
models. The results of this research will be valuable both to the professional community and to government policymakers in the subject area, especially in detecting potential ethical biases and discrimination in the applications of
artificial intelligence and machine learning. </dc:description>
</oai_dc:dc>
