The challenge of artificial intelligence in social science research
Keywords:
Artificial intelligence, social, technology, scientificAbstract
Artificial intelligence (AI) has significantly transformed social science research, presenting both opportunities and challenges. This technology enables efficient analysis of large volumes of data, making it easier to identify hidden patterns and trends, especially in areas such as electoral behavior and the impact of public policies. Automating repetitive tasks also frees up time for deeper and more accurate analysis, however, the adoption of AI poses serious ethical and methodological challenges, especially regarding the privacy of personal data and the transparency of algorithms. According to the research, 72% of the researchers surveyed reported a positive impact of AI on data analysis, although 50% expressed significant ethical concerns. In addition, 42% pointed out a lack of technical knowledge as a major barrier. Therefore, to mitigate these problems, interdisciplinary collaboration and the development of clear policies that ensure AI's fair and equitable use are crucial. In conclusion, although AI offers notable improvements in the accuracy and efficiency of data analysis in social sciences, its implementation must be accompanied by rigorous ethical practices and adequate technical training.
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