Responsible AI: Applications and Ethical Considerations

As artificial intelligence (AI) rapidly transforms industries and societies, its applications present both immense opportunities and significant ethical challenges. This paper explores the concept of Responsible AI, emphasizing the importance of integrating ethical considerations into AI development and deployment. It examines a range of AI applications, from healthcare and finance to autonomous systems, highlighting their potential to drive innovation while also raising concerns about bias, privacy, accountability, and job displacement. The paper evaluates the ethical principles that should guide AI design, including transparency, fairness, privacy protection, and human oversight. Furthermore, it critically analyzes the current landscape of AI governance, identifying gaps in regulation and the need for robust, global frameworks to ensure AI technologies are developed and used responsibly.

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Publication Details

Journal
Communications of the IIMA
Published
2025-10-21
DOI
https://doi.org/10.58729/1941-6687.1468
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Responsible AI: Applications and Ethical Considerations

Emuesiri Oduaran, Skye Ese Oduaran
Communications of the IIMA
Ethics and Social Impacts of AI
article

Responsible AI: Applications and Ethical Considerations

Emuesiri Oduaran, Skye Ese Oduaran
article en

Abstract

As artificial intelligence (AI) rapidly transforms industries and societies, its applications present both immense opportunities and significant ethical challenges. This paper explores the concept of Responsible AI, emphasizing the importance of integrating ethical considerations into AI development and deployment. It examines a range of AI applications, from healthcare and finance to autonomous systems, highlighting their potential to drive innovation while also raising concerns about bias, privacy, accountability, and job displacement. The paper evaluates the ethical principles that should guide AI design, including transparency, fairness, privacy protection, and human oversight. Furthermore, it critically analyzes the current landscape of AI governance, identifying gaps in regulation and the need for robust, global frameworks to ensure AI technologies are developed and used responsibly.

Communications of the IIMAVol. 23(1)
Georgia College & State University (US)
Openalex Percentile: Top 70%
Ethics and Social Impacts of AI
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