Ethical and Legal Challenges of Artificial Intelligence: Implications for Human Right

Authors

  • Rafaq Ahmad LLM Scholar, Department of law, Abdul Wali khan University, Pakistan
  • Sumaira Saleem LLM Scholar, Department of law, Abdul Wali khan University, Pakistan
  • Sayyad Hussain LLM Scholar, Department of law, Abdul Wali khan University, Pakistan

Abstract

Artificial intelligence (AI) has rapidly emerged as a transformative technology with applications spanning various sectors, from healthcare and education to law enforcement and social media. While AI offers significant opportunities to enhance human rights, it also presents critical ethical and legal challenges that can undermine these rights. This study explores the intersection of AI and human rights, focusing on issues such as algorithmic bias, data privacy, accountability, and the broader societal implications of AI systems. The research adopts a qualitative approach, analyzing existing legal frameworks, ethical guidelines, and case studies to identify gaps in governance and propose actionable solutions. Key findings reveal that AI technologies often perpetuate systemic inequalities, compromise privacy through mass surveillance, and challenge established notions of accountability in decision-making. Moreover, the lack of comprehensive global regulations exacerbates these issues, leaving vulnerable communities at heightened risk of exploitation. The study concludes by emphasizing the need for inclusive and transparent AI development, strengthened legal mechanisms, and interdisciplinary collaboration to ensure that AI technologies align with human rights principles. By addressing these challenges proactively, stakeholders can harness the potential of AI while safeguarding fundamental human rights.

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Published

2025-02-28

How to Cite

Ahmad, R., Saleem , S., & Hussain , S. (2025). Ethical and Legal Challenges of Artificial Intelligence: Implications for Human Right. Journal of Law, Society and Policy Review, 2(01), 10–25. Retrieved from http://jlspr.uskt.edu.pk/index.php/Journal/article/view/29