Artificial Intelligence Applications in Humanities and Social Sciences: A Case Study on Legal Issues and Social Problems

Artificial Intelligence has emerged as a disruptive technology with profound implications for the fields of humanities and social sciences. It can also show how AI could apply to legal problems and social issues to arrive at better decisions, better forecasting, and ways in which social disparities can be dissipated. By using statistical data and quantitative analysis, we aim to illustrate precisely how AI might help in an in-depth study of legal case analysis, predicting crimes, or resolution of societal issues. The results show that machine learning algorithms and natural language processing can increase the accuracy and efficiency of legal analyses by a wide margin while contributing to a reduction in social disparities. Two tables are used to depict the statistical data associated with these applications. Further, the paper also discusses legal frameworks governing AI applications and their ethical implications. Finally, the paper compares the existing regulations of AI in different jurisdictions and their effectiveness regarding the fairness and transparency of AI applications in legal and social domains.

کلیدواژه ها:

Artificial Intelligence ، Humanities ، Legal Issues ، Social Problems ، Machine Learning ، Natural Language Processing ، Statistical Data ، Legal Frameworks