Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability. This paper explores these ethical challenges and proposes a comprehensive ethical framework for the responsible development and deployment of AI in IT. Through an examination of historical context, current trends, and detailed case studies, the framework aims to provide actionable guidelines to mitigate biases, protect privacy, enhance transparency, and ensure accountability in AI systems. By fostering ethical AI practices, this framework aspires to support the sustainable and equitable advancement of AI technologies, ultimately benefiting society as a whole

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Publication Details

Journal
Advances in Machine Learning & Artificial Intelligence
Published
2024-09-09
DOI
https://doi.org/10.33140/amlai.05.03.03
Citations
14
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
7.36
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article

Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability

Dimitrios Sargiotis
14 citations
Advances in Machine Learning & Artificial Intelligence
Ethics and Social Impacts of AI
7.36
article

Ethical AI in Information Technology: Navigating Bias, Privacy, Transparency, and Accountability

Dimitrios Sargiotis
article en
14 citations

Abstract

The rapid advancement of artificial intelligence (AI) technologies has fundamentally transformed the landscape of information technology (IT), offering unprecedented opportunities for innovation and efficiency. However, these advancements also bring significant ethical challenges, including issues of bias, privacy, transparency, and accountability. This paper explores these ethical challenges and proposes a comprehensive ethical framework for the responsible development and deployment of AI in IT. Through an examination of historical context, current trends, and detailed case studies, the framework aims to provide actionable guidelines to mitigate biases, protect privacy, enhance transparency, and ensure accountability in AI systems. By fostering ethical AI practices, this framework aspires to support the sustainable and equitable advancement of AI technologies, ultimately benefiting society as a whole

Advances in Machine Learning & Artificial IntelligenceVol. 5(3)
National Technical University of Athens (GR)
Openalex Percentile: Top 3%
Ethics and Social Impacts of AI
7.36
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