Perspectives on Managing AI Ethics in the Digital Age
The rapid advancement of artificial intelligence (AI) has introduced unprecedented opportunities and challenges, necessitating a robust ethical and regulatory framework to guide its development. This study reviews key ethical concerns such as algorithmic bias, transparency, accountability, and the t...
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MDPI AG
2025-04-01
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| author | Lorenzo Ricciardi Celsi Albert Y. Zomaya |
| author_facet | Lorenzo Ricciardi Celsi Albert Y. Zomaya |
| author_sort | Lorenzo Ricciardi Celsi |
| collection | DOAJ |
| description | The rapid advancement of artificial intelligence (AI) has introduced unprecedented opportunities and challenges, necessitating a robust ethical and regulatory framework to guide its development. This study reviews key ethical concerns such as algorithmic bias, transparency, accountability, and the tension between automation and human oversight. It discusses the concept of algor-ethics—a framework for embedding ethical considerations throughout the AI lifecycle—as an antidote to algocracy, where power is concentrated in those who control data and algorithms. The study also examines AI’s transformative potential in diverse sectors, including healthcare, Insurtech, environmental sustainability, and space exploration, underscoring the need for ethical alignment. Ultimately, it advocates for a global, transdisciplinary approach to AI governance that integrates legal, ethical, and technical perspectives, ensuring AI serves humanity while upholding democratic values and social justice. In the second part of the paper, the author offers a synoptic view of AI governance across six major jurisdictions—the United States, China, the European Union, Japan, Canada, and Brazil—highlighting their distinct regulatory approaches. While the EU’s AI Act as well as Japan’s and Canada’s frameworks prioritize fundamental rights and risk-based regulation, the US’s strategy leans towards fostering innovation with executive directives and sector-specific oversight. In contrast, China’s framework integrates AI governance with state-driven ideological imperatives, enforcing compliance with socialist core values, whereas Brazil’s framework is still lacking the institutional depth of the more mature ones mentioned above, despite its commitment to fairness and democratic oversight. Eventually, strategic and governance considerations that should help chief data/AI officers and AI managers are provided in order to successfully leverage the transformative potential of AI for value creation purposes, also in view of the emerging international standards in terms of AI. |
| format | Article |
| id | doaj-art-ebbf34c3d2df4bae87595bff040d8fee |
| institution | OA Journals |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| series | Information |
| spelling | doaj-art-ebbf34c3d2df4bae87595bff040d8fee2025-08-20T02:17:59ZengMDPI AGInformation2078-24892025-04-0116431810.3390/info16040318Perspectives on Managing AI Ethics in the Digital AgeLorenzo Ricciardi Celsi0Albert Y. Zomaya1Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza Università di Roma, Antonio Ruberti, Via Ariosto 25, 00185 Roma, ItalyCentre for Distributed and High-Performance Computing, School of Computer Science, The University of Sydney, Sydney, NSW 2006, AustraliaThe rapid advancement of artificial intelligence (AI) has introduced unprecedented opportunities and challenges, necessitating a robust ethical and regulatory framework to guide its development. This study reviews key ethical concerns such as algorithmic bias, transparency, accountability, and the tension between automation and human oversight. It discusses the concept of algor-ethics—a framework for embedding ethical considerations throughout the AI lifecycle—as an antidote to algocracy, where power is concentrated in those who control data and algorithms. The study also examines AI’s transformative potential in diverse sectors, including healthcare, Insurtech, environmental sustainability, and space exploration, underscoring the need for ethical alignment. Ultimately, it advocates for a global, transdisciplinary approach to AI governance that integrates legal, ethical, and technical perspectives, ensuring AI serves humanity while upholding democratic values and social justice. In the second part of the paper, the author offers a synoptic view of AI governance across six major jurisdictions—the United States, China, the European Union, Japan, Canada, and Brazil—highlighting their distinct regulatory approaches. While the EU’s AI Act as well as Japan’s and Canada’s frameworks prioritize fundamental rights and risk-based regulation, the US’s strategy leans towards fostering innovation with executive directives and sector-specific oversight. In contrast, China’s framework integrates AI governance with state-driven ideological imperatives, enforcing compliance with socialist core values, whereas Brazil’s framework is still lacking the institutional depth of the more mature ones mentioned above, despite its commitment to fairness and democratic oversight. Eventually, strategic and governance considerations that should help chief data/AI officers and AI managers are provided in order to successfully leverage the transformative potential of AI for value creation purposes, also in view of the emerging international standards in terms of AI.https://www.mdpi.com/2078-2489/16/4/318AI ethicsalgor-ethicsAI actAI regulationdata governanceAI governance |
| spellingShingle | Lorenzo Ricciardi Celsi Albert Y. Zomaya Perspectives on Managing AI Ethics in the Digital Age Information AI ethics algor-ethics AI act AI regulation data governance AI governance |
| title | Perspectives on Managing AI Ethics in the Digital Age |
| title_full | Perspectives on Managing AI Ethics in the Digital Age |
| title_fullStr | Perspectives on Managing AI Ethics in the Digital Age |
| title_full_unstemmed | Perspectives on Managing AI Ethics in the Digital Age |
| title_short | Perspectives on Managing AI Ethics in the Digital Age |
| title_sort | perspectives on managing ai ethics in the digital age |
| topic | AI ethics algor-ethics AI act AI regulation data governance AI governance |
| url | https://www.mdpi.com/2078-2489/16/4/318 |
| work_keys_str_mv | AT lorenzoricciardicelsi perspectivesonmanagingaiethicsinthedigitalage AT albertyzomaya perspectivesonmanagingaiethicsinthedigitalage |