{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T19:56:33Z","timestamp":1784663793000,"version":"3.55.0"},"reference-count":65,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T00:00:00Z","timestamp":1744848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>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\u2014a framework for embedding ethical considerations throughout the AI lifecycle\u2014as an antidote to algocracy, where power is concentrated in those who control data and algorithms. The study also examines AI\u2019s 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\u2014the United States, China, the European Union, Japan, Canada, and Brazil\u2014highlighting their distinct regulatory approaches. While the EU\u2019s AI Act as well as Japan\u2019s and Canada\u2019s frameworks prioritize fundamental rights and risk-based regulation, the US\u2019s strategy leans towards fostering innovation with executive directives and sector-specific oversight. In contrast, China\u2019s framework integrates AI governance with state-driven ideological imperatives, enforcing compliance with socialist core values, whereas Brazil\u2019s 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.<\/jats:p>","DOI":"10.3390\/info16040318","type":"journal-article","created":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T06:53:46Z","timestamp":1744872826000},"page":"318","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Perspectives on Managing AI Ethics in the Digital Age"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3809-8886","authenticated-orcid":false,"given":"Lorenzo","family":"Ricciardi Celsi","sequence":"first","affiliation":[{"name":"Dipartimento di Ingegneria Informatica, Automatica e Gestionale, Sapienza Universit\u00e0 di Roma, Antonio Ruberti, Via Ariosto 25, 00185 Roma, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3090-1059","authenticated-orcid":false,"given":"Albert Y.","family":"Zomaya","sequence":"additional","affiliation":[{"name":"Centre for Distributed and High-Performance Computing, School of Computer Science, The University of Sydney, Sydney, NSW 2006, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,4,17]]},"reference":[{"key":"ref_1","unstructured":"Edward, N.Z. 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