American Journal For Multidisciplinary Research

E-ISSN: XXXX-XXXX

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Scholarly International Journal

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Integrating Artificial Intelligence and Social Sciences for Evidence-Based Policy Innovation

Author(s) Donald P. Moynihan
Country United States
Abstract Evidence-based policymaking has become essential in addressing complex societal challenges such as economic inequality, public health crises, climate change, and governance inefficiencies. Traditional policy formulation approaches, often reliant on static data and fragmented disciplinary insights, struggle to respond to rapidly changing social realities. Artificial Intelligence (AI), when integrated with social science frameworks, offers powerful tools for data analysis, predictive modeling, and policy evaluation. This study examines how the convergence of AI and social sciences can enhance evidence-based policy innovation by improving policy design, implementation, and assessment. Using a multidisciplinary research approach, the study analyzes AI applications in public policy across sectors including healthcare, education, labor markets, urban governance, and social welfare. Findings reveal that AI-enabled policy analytics significantly improve accuracy, responsiveness, and inclusivity in decision-making, while also raising ethical, governance, and equity concerns. The study concludes that responsible integration of AI and social sciences can transform policymaking processes if supported by transparent governance, ethical safeguards, and interdisciplinary collaboration.
Keywords Artificial intelligence, social sciences, evidence-based policy, public governance, data-driven decision-making, policy innovation, ethical AI
Field Engineering
Published In Volume 1, Issue 1, May-June 2026
Published On 2026-05-06
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Crossref DOI prefix of AJFMR is
10.00000/ajfmr

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