The thesis "Implications of Artificial Intelligence on Corporate Governance: Challenges and Opportunities for Businesses" examines the impact of artificial intelligence (AI) on corporate governance, highlighting both the advantages and challenges associated with it. The analysis conducted, albeit preliminary, along with the initial practical applications, clearly reveals how AI, through the analysis of Big Data and the application of machine learning, enables more transparent and real-time access to information, improving the quality of corporate decision-making data and facilitating the selection of key roles based on objective criteria and measurable competencies. Innovative projects like VITAL, Alicia T, and DAO-project demonstrate how entrepreneurship is exploring AI solutions to assist or replace human administrators in corporate decision-making, bringing speed and reliability, but at the same time, they pose relevant legal challenges, such as attributing legal personality to AI entities and defining social responsibility frameworks. This digital transformation requires companies to ethically and sustainably manage the implementation of new digital technologies, considering social and environmental implications, challenging existing corporate law, and requiring appropriate regulatory responses. AI offers extraordinary opportunities to enhance corporate governance and business efficiency, but the balance between innovation and regulation is essential, guided by ethical values, fairness, and sustainability, actively involving legislators, companies, shareholders, and the public to ensure tangible and sustainable benefits while preserving trust and respect for laws and ethical principles.
La tesi "Implicazioni dell'intelligenza artificiale sulla Corporate Governance: sfide e opportunità per le aziende" esamina l'impatto dell'intelligenza artificiale (IA) sulla corporate governance, evidenziando sia i vantaggi che le sfide connesse. L'analisi condotta, seppur preliminare, insieme a prime applicazioni pratiche, rivela chiaramente come l'IA, attraverso l'analisi di Big Data e l'applicazione del machine learning, permetta un accesso più trasparente e in tempo reale alle informazioni, migliorando la qualità dei dati decisionali aziendali e facilitando la selezione di ruoli chiave basandosi su criteri oggettivi e competenze misurabili. Progetti innovativi come VITAL, Alicia T e DAO-project dimostrano come l'imprenditoria stia esplorando soluzioni di IA per assistere o sostituire gli amministratori umani nelle decisioni aziendali, apportando rapidità e affidabilità, ma al contempo pongono sfide giuridiche rilevanti, come l'imputazione di personalità giuridica alle entità di IA e la definizione di regimi di responsabilità. Questa trasformazione digitale richiede alle imprese di gestire in modo etico e sostenibile l'implementazione delle nuove tecnologie digitali, considerando le implicazioni sociali ed ambientali, sfidando il diritto societario esistente e richiedendo una risposta normativa adeguata. L'IA offre opportunità straordinarie per migliorare il governo d’impresa e l'efficienza aziendale, ma il bilanciamento tra innovazione e regolamentazione è essenziale, guidato da valori etici, equità e sostenibilità, coinvolgendo attivamente legislatori, aziende, azionisti e il pubblico al fine di garantire benefici concreti e sostenibili, preservando fiducia e rispetto delle leggi e dei principi etici.
Implicazioni dell'intelligenza artificiale sulla Corporate Governance: sfide e opportunità per le aziende
BIANCHINI, SARA
2022/2023
Abstract
The thesis "Implications of Artificial Intelligence on Corporate Governance: Challenges and Opportunities for Businesses" examines the impact of artificial intelligence (AI) on corporate governance, highlighting both the advantages and challenges associated with it. The analysis conducted, albeit preliminary, along with the initial practical applications, clearly reveals how AI, through the analysis of Big Data and the application of machine learning, enables more transparent and real-time access to information, improving the quality of corporate decision-making data and facilitating the selection of key roles based on objective criteria and measurable competencies. Innovative projects like VITAL, Alicia T, and DAO-project demonstrate how entrepreneurship is exploring AI solutions to assist or replace human administrators in corporate decision-making, bringing speed and reliability, but at the same time, they pose relevant legal challenges, such as attributing legal personality to AI entities and defining social responsibility frameworks. This digital transformation requires companies to ethically and sustainably manage the implementation of new digital technologies, considering social and environmental implications, challenging existing corporate law, and requiring appropriate regulatory responses. AI offers extraordinary opportunities to enhance corporate governance and business efficiency, but the balance between innovation and regulation is essential, guided by ethical values, fairness, and sustainability, actively involving legislators, companies, shareholders, and the public to ensure tangible and sustainable benefits while preserving trust and respect for laws and ethical principles.| File | Dimensione | Formato | |
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Tesi Bianchini.pdf
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https://hdl.handle.net/20.500.12608/55667