Societal Impacts of Artificial Intelligence: Opportunities, Risks and Ethical Challenges

  • C Rishik Assistant Professor, Department of Computer Science, Jain College, Bengaluru
  • KM Suhas Assistant Professor, Department of Computer Science, Jain College, Bengaluru
  • Deekshitha . Assistant Professor, Department of Computer Science, Jain College, Bengaluru
  • R Nirmala Assistant Professor, Department of Computer Science, Jain College, Bengaluru

Abstract

Artificial Intelligence (AI) has become one of the most transformative technologies of the 21st century, significantly influencing the social, economic, and cultural aspects of modern life. This paper examines the societal impacts of AI by exploring its opportunities, risks, and ethical challenges. AI is increasingly used in sectors such as healthcare, education, finance, transportation, and governance, helping improve efficiency, accuracy, and innovation. Applications like advanced medical diagnostics, personalised learning systems, automated decision-making, and smart infrastructure enhance human capabilities and support sustainable development.
However, the rapid expansion of AI also raises several societal concerns. Automation may lead to job displacement, while issues such as data privacy violations, cybersecurity threats, and algorithmic bias highlight the risks associated with AI systems. Additionally, limited transparency and the concentration of technological power among a few organisations create challenges related to accountability, fairness, and equal access.
AI systems operate by analysing large datasets to identify patterns and make predictions or decisions. While AI promotes economic growth and technological advancement, responsible development, ethical guidelines, and effective regulations are necessary to ensure that its benefits are distributed fairly across society.

Published
2026-03-25
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How to Cite
Rishik, C., Suhas, K., ., D., & Nirmala, R. (2026). Societal Impacts of Artificial Intelligence: Opportunities, Risks and Ethical Challenges. Shanlax International Journal of Management, 13(S1-Mar), 173-176. https://doi.org/10.34293/management.v13iS1-Mar.10761
Section
Articles