I modelli linguistici di IA possono migliorare la ricerca nelle Scienze Umane? Analisi fenomenologica e direzioni future
DOI:
https://doi.org/10.6092/issn.1825-8670/16554Parole chiave:
Human-Computer Interaction, Natural Language Processing, Intelligenza Artificiale, Scienze Umane, MetodologiaAbstract
L'articolo esplora l’uso del modello linguistico di intelligenza artificiale “ChatGPT” nel campo delle scienze umane. ChatGPT utilizza tecniche di elaborazione del linguaggio naturale per imitare il linguaggio umano e avviare conversazioni artificiali. Sebbene la piattaforma abbia ottenuto l’attenzione della comunità scientifica, le opinioni sul suo utilizzo sono discordanti. L’articolo presenta alcune conversazioni con ChatGPT per esaminare le questioni etiche, relazionali e linguistiche legate all'interazione uomo-computer (HCI) e valutare il suo potenziale per la ricerca nelle Scienze Umane. L’interazione con la piattaforma ricorda il fenomeno della “uncanny valley” già noto alla Robotica Sociale. Sebbene ChatGPT possa essere utile, esso richiede un’adeguata supervisione e verifica dei risultati. Inoltre, è necessario sviluppare nuovi metodi di ricerca qualitativi, quantitativi e misti.
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