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Ethical Software Engineering: Addressing Bias and Promoting Ethical AI Practices

Book Title: Exploring the Frontiers of Artificial Intelligence and Machine Learning Technologies

Editors:  Mr. Agha Urfi Mirza and Dr. Balraj Kumar

ISBN:  978-81-970457-9-0

Chapter: 7

DOI: https://doi.org/10.59646/efaimltC7/133

Authors:   Dr. A. Bharathi1 and Dr. S. Bharathidasan2

1Assistant Professor, Department of Information Technology, Vels Institute of Science, Technology and Advanced Studies, Chennai, Tamil Nadu, India.
2Associate Professor, Department of Electronics and Communication Engineering, Erode Sengunthar Engineering College (Autonomous),
Thudupathi, Erode, India.

Abstract:

This book chapter, titled “Ethical Software Engineering: Addressing Bias and Promoting Ethical AI Practices,” delves into the critical intersection of ethical considerations and the rapidly advancing field of Artificial Intelligence (AI). The narrative unfolds with an introduction emphasizing the escalating importance of ethical practices in shaping responsible AI development, particularly within software engineering. The chapter examines various forms of bias in AI systems, including algorithmic, data, and cultural bias, using real-world examples and case studies to illustrate their pervasive nature and potential implications. Moving beyond bias, it explores broader ethical dimensions such as fairness, accountability, transparency, and societal impact. The chapter introduces ethical frameworks guiding responsible AI development and practical strategies for addressing bias throughout the software development lifecycle, encompassing ethical data collection, algorithmic transparency, and fairness-aware model training. By offering a comprehensive analysis, the chapter serves as a valuable resource for professionals, researchers, and policymakers navigating the complex interplay of ethical software engineering and the evolving landscape of AI.

References

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