Between Innovation and Ethical Challenges: The Impact of Artificial Intelligence in Social Science Research

Artificial intelligence (AI) is increasingly influencing scientific research by improving the reliability and efficiency of literature reviews, data collection and analysis, as well as of academic writing. While AI offers significant advantages in automating repetitive tasks and streamlining research workflows, it also raises concerns about accuracy, transparency, and ethical integrity. This paper examines the dual impact of AI in social science research, highlighting its potential to improve efficiency while underlining the need for critical oversight of processes and outcomes. Experience to date suggests that researchers need to validate all AI-generated outputs and adopt a critical stance toward the use of AI in the creative stages of scientific endeavor. In addition, academic institutions should establish clear policies to regulate the use of AI, ensuring compliance with international standards and promoting ethical research practices. The future of AI in research depends on balancing the efficiency calculations supported by technological innovation with ethical responsibility and that of upholding the credibility and integrity of scientific knowledge.