The rapid advancement of Generative Artificial Intelligence (GenAI) is creating new professional roles that demand specialized skills. This study presents a structured model to assess the "GenAI Readiness" of university degree programs in Italy, determining how well they align with the competencies required for emerging AIrelated professions. The assessment framework evaluates programs based on a five-level ranking system, covering roles such as GenAI Specialist Data Scientist, Prompt Engineer, Ethical AI Specialist, AI Product Manager, and Creative AI Specialist. The methodology involves automated comparative text analysis, using AI tools to match course descriptions against predefined competency standards. Our results highlight gaps and strengths in existing curricula, offering valuable insights for both students selecting academic programs and companies seeking AI talent. By quantifying readiness levels, this study contributes to bridging the gap between higher education and the rapidly evolving demands of the AI industry.

An Approach for Assessing the GenAI Readiness of Degree Programs in Italian Universities / Russo, Dario; Falorsi, Piero; Manzi, Giancarlo; Alleva, Giorgio. - (2026), pp. 402-402. ( CARMA 2025 Roma ).

An Approach for Assessing the GenAI Readiness of Degree Programs in Italian Universities

Piero Falorsi
Secondo
;
Giancarlo Manzi
Penultimo
;
Giorgio Alleva
Ultimo
2026

Abstract

The rapid advancement of Generative Artificial Intelligence (GenAI) is creating new professional roles that demand specialized skills. This study presents a structured model to assess the "GenAI Readiness" of university degree programs in Italy, determining how well they align with the competencies required for emerging AIrelated professions. The assessment framework evaluates programs based on a five-level ranking system, covering roles such as GenAI Specialist Data Scientist, Prompt Engineer, Ethical AI Specialist, AI Product Manager, and Creative AI Specialist. The methodology involves automated comparative text analysis, using AI tools to match course descriptions against predefined competency standards. Our results highlight gaps and strengths in existing curricula, offering valuable insights for both students selecting academic programs and companies seeking AI talent. By quantifying readiness levels, this study contributes to bridging the gap between higher education and the rapidly evolving demands of the AI industry.
2026
CARMA 2025
04 Pubblicazione in atti di convegno::04d Abstract in atti di convegno
An Approach for Assessing the GenAI Readiness of Degree Programs in Italian Universities / Russo, Dario; Falorsi, Piero; Manzi, Giancarlo; Alleva, Giorgio. - (2026), pp. 402-402. ( CARMA 2025 Roma ).
File allegati a questo prodotto
File Dimensione Formato  
Russo_Approach-Assessing_2025.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 4.08 MB
Formato Adobe PDF
4.08 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1764679
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact