10.66793/titui19proceeding11

BIAS AND FAIRNESS IN AI DECISION SYSTEMS: ADDRESSING ALGORITHMIC BIAS THROUGH FAIRNESS METRICS AND DE-BIASING TECHNIQUES

Article TitleBIAS AND FAIRNESS IN AI DECISION SYSTEMS: ADDRESSING ALGORITHMIC BIAS THROUGH FAIRNESS METRICS AND DE-BIASING TECHNIQUES
AuthorsBogdan ALEXANDRESCU, Senior Lecturer, National University of Science and Technology POLITEHNICA Bucharest
Book TitleUniversitatea Titu Maiorescu, the 19th international conference, education and creativity for a knowledge based society, eUniversitatea Titu Maiorescu, the 19th international conference, education and creativity for a knowledge based society, informatics proceeding book
Conference TitleUniversitatea Titu Maiorescu, The 19th International Conference, Education and creativity for a knowledge based society
EditorsInformatics – Dean, Prof. Univ. Dr. Daniela JOITA and Conf. Univ. Dr. Iustin PRIESCU
Daniela.joita@prof.utm.ro; iustin.priescu@prof.utm.ro
Pages71-74
PublisherKürşat ÇAPRAZ
PublishedFirst Edition, 11 June 2026, Kırklareli, Türkiye
LanguageEnglish
E-ISBN978-625-92035-4-6
DOIhttps://doi.org/10.66793/titui19proceeding11
Conference Dates20-22 November 2025
Conference Venue“Titu Maiorescu” University, Bucharest, ROMANIA
Licensed ByCC BY-NC 4.0
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Cite As APAAlexandrescu, B. (2026). Bias and fairness in AI decision systems: Addressing algorithmic bias through fairness metrics and de-biasing techniques. In D. Joita & I. Priescu (Eds.), Universitatea Titu Maiorescu, The 19th International Conference, Education and Creativity for a Knowledge Based Society, Informatics Proceeding Book (pp. 71–74). Kürşat Çapraz. https://doi.org/10.66793/titui19proceeding11