The Role of AI In Social Science Research

This article discusses the transformative role of Artificial Intelligence (AI) in social science research, highlighting its impact on methodologies and data analysis. AI technologies, such as machine learning and natural language processing, allow researchers to handle large datasets quickly and uncover insights that traditional methods might miss. These advancements not only enhance research efficiency but also democratize access to analytical tools, enabling more researchers to engage in meaningful inquiry. AI applications include data analysis, sentiment analysis, predictive modeling, and data visualization, all of which contribute to a deeper understanding of social phenomena and informed decision-making. However, the integration of AI raises ethical concerns, including data privacy, algorithmic bias, and the challenges of informed consent, which researchers must address to ensure responsible usage. The COVID-۱۹ pandemic accelerated AI adoption, emphasizing the need for digital solutions in social science. As AI continues to shape the field, ongoing discussions about ethical considerations are essential for maintaining research integrity and promoting social equity. The article also emphasizes AI’s potential to revolutionize research by improving data analysis, streamlining processes, and assisting in writing and publication stages. It calls for an ethical approach to AI use, addressing issues like algorithmic bias and privacy concerns, and suggests collaborative frameworks for achieving the Sustainable Development Goals (SDGs). As the field evolves, AI's integration into social science research will continue to present both opportunities and challenges, requiring a balance between technological benefits and ethical responsibility.

کلیدواژه ها:

Social Science ، AI ، Technology