Artificial Intelligence and the Future of Ethics in Social Sciences

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of the social sciences, bringing both opportunities and challenges to the field. As AI technologies become more integrated into research, policy-making, and everyday social interactions, they raise fundamental ethical questions that require careful examination. This paper explores the implications of AI on ethics in social sciences, focusing on issues such as bias, privacy, accountability, and the potential for discrimination in algorithmic decision-making. The evolving nature of AI demands a rethinking of traditional ethical frameworks to ensure that technology serves humanity equitably and justly. The paper examines how AI can influence social science methodologies, shaping new approaches to data collection, analysis, and prediction. Additionally, it discusses the role of interdisciplinary collaboration between technologists, ethicists, and social scientists in developing AI systems that prioritize fairness, transparency, and social responsibility. Finally, the paper suggests that proactive engagement with these ethical challenges is essential for the sustainable and ethical integration of AI in the social sciences, ensuring that future advancements align with human values and social equity.