Ethical Consideration in Artificial Intelligence Development and Deployment

Artificial Intelligence (AI) systems are transforming various industries, offering new opportunities and efficiencies. However, alongside these benefits, the development and deployment of AI raise significant ethical considerations. This paper examines the ethical issues surrounding AI, including bias, transparency, privacy, accountability, and societal impact. It proposes guidelines for ensuring the responsible use of AI technologies, emphasizing the importance of prioritizing ethical principles such as fairness, transparency, and accountability. However, the widespread adoption of AI also brings forth a range of ethical challenges that must be addressed to ensure that these technologies are developed and deployed responsibly. One of the most pressing ethical concerns is the issue of bias in AI systems. AI algorithms are often trained on large datasets that may contain historical biases, which can lead to discriminatory outcomes when these systems are used in real-world applications.

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Publication Details

Journal
International Journal of Artificial Intelligence & Applications
Published
2025-03-28
DOI
https://doi.org/10.5121/ijaia.2025.16201
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Ethical Consideration in Artificial Intelligence Development and Deployment

Abdulrahman Alseqyani, Saud S. Alotaibi, Saad H. Alotaibi
International Journal of Artificial Intelligence & Applications
Ethics and Social Impacts of AI
article

Ethical Consideration in Artificial Intelligence Development and Deployment

Abdulrahman Alseqyani, Saud S. Alotaibi, Saad H. Alotaibi
article en

Abstract

Artificial Intelligence (AI) systems are transforming various industries, offering new opportunities and efficiencies. However, alongside these benefits, the development and deployment of AI raise significant ethical considerations. This paper examines the ethical issues surrounding AI, including bias, transparency, privacy, accountability, and societal impact. It proposes guidelines for ensuring the responsible use of AI technologies, emphasizing the importance of prioritizing ethical principles such as fairness, transparency, and accountability. However, the widespread adoption of AI also brings forth a range of ethical challenges that must be addressed to ensure that these technologies are developed and deployed responsibly. One of the most pressing ethical concerns is the issue of bias in AI systems. AI algorithms are often trained on large datasets that may contain historical biases, which can lead to discriminatory outcomes when these systems are used in real-world applications.

International Journal of Artificial Intelligence & ApplicationsVol. 16(2)
Openalex Percentile: Top 93%
Ethics and Social Impacts of AI
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