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AI-Driven Solutions in Healthcare, Education, and Legal Systems

EasyChair Preprint no. 12530

29 pagesDate: March 18, 2024


This chapter explores the transformative role of artificial intelligence (AI) in three key sectors which are health, education and legal systems. The integration of AI in these areas is not limited to reshaping operational efficiencies but also redefining service delivery paradigms and decision-making processes. While AI technologies revolutionize diagnostics, treatment planning and patient care, they raise important ethical and privacy questions. In education, AI facilitates personalized learning experiences, optimizes administrative tasks, and prepares the next generation for an AI-centric future. The legal sector is also experiencing a paradigm shift, with AI contributing to legal research, case analysis and streamlining procedural tasks, although not without its own set of ethical dilemmas. This chapter provides a comprehensive overview of current AI applications, supported by real-world case studies, and outlines future trends in these areas. It aims to provide insights into the successes, challenges and potential directions of AI to improve the efficiency and accessibility of services in the health, education and legal sectors, while addressing reflect on the ethical implications of this digital revolution.

Keyphrases: Artificial Intelligence, Education, Healthcare, legal systems

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mouna El Amari and Osamah Ibrahim Khalaf and Habib Hamam},
  title = {AI-Driven Solutions in Healthcare, Education, and Legal Systems},
  howpublished = {EasyChair Preprint no. 12530},

  year = {EasyChair, 2024}}
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