Marko Robnik Šikonja: Naš model ne odgovarja na pristranska vprašanja, npr. o Mariboru in Olimpiji

from Odbita do bita · host RTVSLO – Val 202

Ob vsesplošni uporabi generativne umetne inteligence se sprašujemo, če so veliki jezikovni modeli lahko pristranski? Zakaj Muskov Grok ali kitajski DeepSeek veljata za desno usmerjen model, drugi komercialni modeli (Chat GPT, Gemini, Cloude, ..) pa levo, liberalno usmerjene? Je generativna umetna inteligenca lahko politično nevtralna in kako kulturno pogojene razlike med nami razume slovenski model GaMS. Kako bi odgovoril na vprašanje, kateri klub je boljši? NK Maribor ali NK Olimpija? Prof. dr. Marko Robnik &Scaron;ikonja s Fakultete za računalni&scaron;tvo in informatiko raziskovalno dela na področjih umetne inteligence, strojnega učenja, obdelave naravnega jezika in analize omrežij. Zapiski: Odbit Discord Oglasite se lahko na [email protected] Poglavja: 00:01:35 Kako pristranska je generativna umetna inteligenca? 00:04:18 Politični kompas jezikovnih modelov 00:08:21 Površinska vs. globoka pristranskost in etične dileme 00:11:05 Komercialni vs. odprtokodni modeli in tri faze učenja 00:13:43 Kako oblikovati objektivne ukaze (prompte)? 00:17:00 Tožbe proti tehnološkim velikanom in pravna odgovornost 00:20:40 Filtriranje podatkov in problem spletnih komentarjev 00:22:48 Kulturno prilagajanje umetne inteligence 00:24:59 Slovenski model GAMS in prihodnost razvoja

What this episode covers

Ob vsesplošni uporabi generativne umetne inteligence se sprašujemo, če so veliki jezikovni modeli lahko pristranski? Zakaj Muskov Grok ali kitajski DeepSeek veljata za desno usmerjen model, drugi komercialni modeli (Chat GPT, Gemini, Cloude, ..) pa levo, liberalno usmerjene? Je generativna umetna inteligenca lahko politično nevtralna in kako kulturno pogojene razlike med nami razume slovenski model GaMS. Kako bi odgovoril na vprašanje, kateri klub je boljši? NK Maribor ali NK Olimpija? Prof. dr. Marko Robnik Šikonja s Fakultete za računalništvo in informatiko raziskovalno dela na področjih umetne inteligence, strojnega učenja, obdelave naravnega jezika in analize omrežij. Zapiski: Odbit Discord Oglasite se lahko na [email protected] Poglavja: 00:01:35 Kako pristranska je generativna umetna inteligenca? 00:04:18 Politični kompas jezikovnih modelov 00:08:21 Površinska vs. globoka pristranskost in etične dileme 00:11:05 Komercialni vs. odprtokodni modeli in tri faze učenja 00:13:43 Kako oblikovati objektivne ukaze (prompte)? 00:17:00 Tožbe proti tehnološkim velikanom in pravna odgovornost 00:20:40 Filtriranje podatkov in problem spletnih komentarjev 00:22:48 Kulturno prilagajanje umetne inteligence 00:24:59 Slovenski model GAMS in prihodnost razvoja

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Marko Robnik Šikonja: Naš model ne odgovarja na pristranska vprašanja, npr. o Mariboru in Olimpiji

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This episode was published on June 19, 2026.

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