| dc.description.abstract | The rapid growth of artificial intelligence (AI)
technologies raises critical ethical concerns, particularly regarding fairness, transparency, privacy, and
accountability. This review synthesizes current research to
identify key ethical challenges and propose strategies for
responsible AI development. A systematic literature review
was conducted, examining peer-reviewed articles, reports,
and policy documents. The review focused on recurring
themes such as data bias, privacy concerns, accountability,
and transparency, using thematic synthesis to integrate
findings. The review identified several critical ethical
challenges in AI, including inherent biases in training data,
difficulties in ensuring accountability, and the tension
between maximizing innovation and safeguarding human
rights. It was found that existing guidelines vary
significantly in scope and effectiveness, often lacking in
operationalization and real-world impact assessment.
Additionally, the study highlights the importance of
inclusive governance and stakeholder participation in
addressing these challenges. The findings emphasize that
technical solutions alone are insufficient to address AI
ethics; social and governance responses are also necessary.
The review advocates for a comprehensive approach to AI
ethics, focusing on transparency, responsibility, and
human-centered design. It calls for the development of
adaptable frameworks that align AI technologies with
societal values and ensure their ethical deployment. | en_US |
