Social and Legal Risks of Artificial Intelligence: An Analytical Study

Authors

  • Khawlah M. Al-Tkhayneh College of Education, Humanities and Social Sciences, Al Ain University, Al Ain, United Arab Emirates; *Corresponding Author
  • Hasan Awad Al-Tarawneh The University of Jordan, Queen Rania St, Amman, Jordan
  • Enas Abulibdeh College of Education, Humanities and Social Sciences, Al Ain University, Al Ain, United Arab Emirates
  • Moath Khalaf Alomery College of Education, Humanities and Social Sciences, Al Ain University, Al Ain, United Arab Emirates

DOI:

https://doi.org/10.36941/ajis-2023-0079

Keywords:

Social and Legal Risks, Artificial Intelligence, Analytical Study, preserving human rights

Abstract

This study discusses the social and legal risks of artificial intelligence by referring to reliable primary and secondary sources in this field of study and analyzing the content of the collected data. Various data sources were consulted, including articles published in newspapers, international organizations’ websites, and refereed journals. The results of the study demonstrate that artificial intelligence may have negative effects if it is not used on solid ethical grounds as it may lead to taking discriminatory decisions in institutions and pose some risks in relation to users’ privacy, in addition to legal, criminal, and ethical challenges. More broadly, the study reveals that artificial intelligence is widening the gap between rich and poor countries. Therefore, institutions specialized in various fields need to specify the purpose of their efforts in the field of artificial intelligence, so they can overcome the obstacles that may face the progress of their work and the process of preserving human rights.

 

Received: 10 January 2023 / Accepted: 20 April 2023 / Published: 5 May 2023

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Published

05-05-2023

Issue

Section

Research Articles

How to Cite

Social and Legal Risks of Artificial Intelligence: An Analytical Study. (2023). Academic Journal of Interdisciplinary Studies, 12(3), 308. https://doi.org/10.36941/ajis-2023-0079