Vol. 1 No. 1 (2021): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI Ethics - Challenges and Considerations: Examining ethical challenges and considerations in the development and deployment of artificial intelligence systems

Ramswaroop Reddy Yellu
Independent Researcher, USA
Srihari Maruthi
University of New Haven, West Haven, CT, United States
Sarath Babu Dodda
Central Michigan University, MI, United States
Praveen Thuniki
Independent Researcher & Program Analyst, Georgia, United States
Surendranadha Reddy Byrapu Reddy
Sr. Data Architect at Lincoln Financial Group, Greensboro, NC, United States
Cover

Published 25-06-2021

Keywords

  • AI Ethics,
  • Ethical Challenges,
  • Bias,
  • Fairness,
  • Transparency,
  • Accountability,
  • Privacy
  • ...More
    Less

How to Cite

[1]
R. Reddy Yellu, S. Maruthi, S. Babu Dodda, P. Thuniki, and S. Reddy Byrapu Reddy, “AI Ethics - Challenges and Considerations: Examining ethical challenges and considerations in the development and deployment of artificial intelligence systems”, African J. of Artificial Int. and Sust. Dev., vol. 1, no. 1, pp. 9–16, Jun. 2021, Accessed: Nov. 21, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/21

Abstract

Artificial intelligence (AI) technologies are increasingly pervasive, impacting various aspects of society, from healthcare to finance and beyond. While these advancements offer immense benefits, they also raise significant ethical concerns. This paper examines the ethical challenges and considerations in the development and deployment of AI systems. We discuss issues such as bias and fairness, transparency and explainability, accountability, privacy, and societal impact. Through a comprehensive analysis, we aim to provide insights into how these challenges can be addressed to ensure the responsible and ethical use of AI technologies.

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References

  1. Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.