
Ovaj otvoreni obrazovni resurs (OER) istražuje jaz rodnih podataka i algoritamske pristrasnosti u umjetnoj inteligenciji (UI). Fokus je stavljen na reprezentativne, algoritamske, kulturne i intersekcionalne oblike pristrasnosti koji utiču na žene u različitim društvenim sferama. Kroz dokumentovane primjere naglašava se kako nedostatak rodno uravnoteženih podataka i stereotipni dizajn mogu dovesti do diskriminatornih obrazaca i nejednakih rezultata. Ovaj OER je razvijen u okviru evropskog projekta GEDIS – Gender Diversity in Information Science, koji promoviše otvorene obrazovne alate za rješavanje rodnih nejednakosti u visokom obrazovanju.
digitalna etika, rodni jaz u podacima, umjetna inteligencija, OER, GEDIS PROJECT, Summer School Barcelona, intersekcionalnost
digitalna etika, rodni jaz u podacima, umjetna inteligencija, OER, GEDIS PROJECT, Summer School Barcelona, intersekcionalnost
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
