{ "@context": { "dcterms": "http://purl.org/dc/terms/", "dcmitype": "http://purl.org/dc/dcmitype/" }, "dcterms:identifier": [ "tag:aim-pro.eu,2026:oer/808183d09402", "https://zenodo.org/records/21439987", "doi:10.5281/zenodo.21439987", "zenodo-record:21439987" ], "dcterms:title": [ "Ethical Perspectives on Artificial Intelligence in the Digital Society" ], "dcterms:type": [ { "@id": "dcmitype:Text" }, "Book chapter" ], "dcterms:creator": [ "Dr. Abhijit Chatterjee" ], "dcterms:description": [ "Artificial Intelligence (AI) has become a defining technology of the digital era, transforming the ways in which societies create, access, and use information across domains such as education, healthcare, public administration, finance, and communication. Alongside its significant potential to improve efficiency, innovation, and decision-making, AI has generated complex ethical concerns relating to fairness, transparency, accountability, privacy, human autonomy, and social equity. Although several international organizations have proposed ethical guidelines for the responsible development of AI, existing studies often examine these principles in isolation, leaving a need for a more integrated understanding of ethical governance that addresses the challenges posed by rapidly evolving AI technologies, particularly generative AI. This paper aims to examine the ethical foundations of Artificial Intelligence, analyse the principal ethical challenges arising from its widespread adoption, evaluate prominent international governance frameworks, and propose a human-centered approach for the responsible use of AI in a digital society. The study adopts a qualitative research approach based on a systematic review of scholarly publications, policy reports, and international guidelines issued by leading organizations, including UNESCO, the OECD, IEEE, and the European Commission. The collected literature was examined through thematic content analysis to identify recurring ethical principles, governance mechanisms, and emerging policy issues. The analysis indicates that responsible AI requires an integrated governance approach that combines technological innovation with ethical responsibility, legal safeguards, institutional accountability, and public participation. It further highlights that the expansion of generative AI has intensified concerns regarding algorithmic bias, misinformation, surveillance, data privacy, and digital inequality, thereby requiring stronger regulatory oversight and interdisciplinary collaboration. This study contributes to the literature by synthesizing major international ethical frameworks into a unified conceptual perspective that links ethical principles with practical governance strategies for responsible AI in the digital society. The paper concludes by recommending the adoption of transparent regulatory policies, ethical AI standards, enhanced digital literacy, continuous algorithmic auditing, and multi-stakeholder cooperation to ensure that AI technologies promote inclusive, trustworthy, and sustainable digital development while protecting fundamental human rights." ], "dcterms:subject": [ "Artificial Intelligence", "Digital Society", "AI Ethics", "Responsible AI", "Data Privacy" ], "dcterms:language": [ "en" ], "dcterms:license": [ { "@id": "https://creativecommons.org/licenses/by/4.0/" } ], "dcterms:rights": [ "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. 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