Citation :

Deepa Rameshrao Deshmukh, Ranjan Dube, "AI-Driven Frameworks for Ethical and Efficient Management of Surrogacy in India," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 7, pp. 477-492, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I7P129

Abstract

Based on artificial intelligence, the paper proposes a framework for ethically and effectively controlling the process of Surrogacy in India, which includes statistical analysis, machine learning, fairness assessment, and explainable AI techniques. Data were processed using descriptive and inferential statistics in a synthetic data set of socio-economic, clinical and procedural variables, and the approval time, maternal health, age and education level were found to be significant predictors of ethical risk. Machine learning (Random Forest and XGBoost) models achieved good predictive performance (ROC-AUC > 0.88), and feature contributions were also given by explainability (SHAP), which helped to make the contribution of features to the model's performance more transparent for policy makers and clinicians. The fairness analysis has showed little bias in relation to income groups, and this has led to an equitable risk analysis and compliance to regulations. The framework provides practical suggestions on refining the approval process, focus on high-risk cases, and improving ethical surrogacy management. Limited availability of data and the fact that regional diversity is not considered represent weaknesses, with future research that should continue to use real-world datasets, federated learning and IoT-based monitoring as risk assessment methods on an ongoing basis. The research adds to AI-assisted governance, policy-making, and ethical decision-making of reproductive healthcare.

Keywords

Ethical Artificial Intelligence, Surrogacy Management, Predictive Modeling, Fairness Assessment, Explainable Artificial Intelligence, Socio-Economic Disparities.

References

[1] Oyetola Mary Adeniyi, and Vera B. Monehin, “The use of Artificial Intelligence (AI) in Assisted Reproductive Technology (ART): Examining the Legal and Ethical Implications,” ABUAD Law Journal, vol. 12, no. 1, 135-152, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[2] Mrinalini Choudhary et al., Exploring Ethical Aspects and Regulatory Framework for India’s Sustainable Healthcare Sector in the Era of Artificial Intelligence, Transforming Healthcare Sector Through Artificial Intelligence and Environmental Sustainability, Springer, Singapore, pp. 129-147, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[3] Raywat Deonandan, “Recent Trends in Reproductive Tourism and International Surrogacy: Ethical Considerations and Challenges for Policy,” Risk Management and Healthcare Policy, vol. 8, pp. 111-119, 2015.
[CrossRef] [Google Scholar] [Publisher Link]

[4] Maneesha Dhir Sonal Verma, AI for Good: India and Beyond: Detailed Analysis of AI and Laws, Policies, Ethical Frameworks and Judgements, Notion Press, 2024.
[Google Scholar] [Publisher Link]

[5] Ushaa Eswaran et al., Human-Centric AI Balancing Innovation with Ethical Considerations in the Age of Soft Computing, Soft Computing in Industry 5.0 for Sustainability, Springer, Cham, pp. 87-116, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[6] A. Shaji George et al., “The Birth of the AI Baby: A Technological Paradigm Shift in Human Reproduction and IVF,” Partners Universal Innovative Research Publication, vol. 3, no. 2, pp. 10-36, 2025.
[Google Scholar] [Publisher Link]

[7] Arjun Ghosh, Ankit Saini, and Himanshu Barad et al., “Transforming Healthcare in India: The Role of Artificial Intelligence and Regulatory Frameworks for Sustainable Growth,” World Medical and Health Policy, vol.  17, no. 3, pp. 475-490, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[8] M.S. Zaiba Khan, Introduction to Artificial Intelligence and Human-centric Computing, OrangeBooks Publication, 2024.
[Google Scholar]

[9] Charvi Kumar et al., Exploring the Role of AI in Overcoming Women’s Sexual and Reproductive Wellbeing Barriers, Wearable Devices, Surveillance Systems, and AI for Women’s Wellbeing, IGI Global Scientific Publishing, pp. 129-147, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[10] Lisa Lau, “A Postcolonial Framing of Indian Commercial Surrogacy: Issues, Representations, and Orientalisms,” Gender, Place and Culture, vol. 25, no. 5, pp.  666-685, 2018.
[CrossRef] [Google Scholar] [Publisher Link]

[11] Andrew Lizzio, “From Artificial to Humane Intelligence (HI)-The Necessary Evolution of Ethical Diversity in AI,” 2025.
[Google Scholar]

[12] Kristin Lozanski, and Irene Shankar, “Surrogates as Risk or Surrogates at Risk? The Contradictory Constitution of Surrogates’ Bodies in Transnational Surrogacy,” Social Theory and Health, vol. 17, no. 1, pp. 40-56, 2018.
[CrossRef] [Google Scholar] [Publisher Link]

[13] Yingyi Luo, “Regulating Surrogacy Intermediaries: A Comparative Analysis of Regulatory Approaches and Implications in the Chinese Context,” International Journal of Law in Context, vol. 20, no. 4, pp. 514-528, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[14] Prashant Mahajan, “Beyond Biology: AI as Family and the Future of Human Bonds and Relationships,” F1000Research, vol. 14, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[15] Anindita Majumdar, Transnational Commercial Surrogacy and the (Un) Making of Kin in India, Oxford University Press, 2017.
[Google Scholar] [Publisher Link]

[16] Anindita Majumdar, Surrogacy, Oxford University Press, 2018.
[Google Scholar] [Publisher Link]

[17] Evelina Manvelyan et al., “Navigating the Gestational Surrogacy Seas: The Legalities and Complexities of Gestational Carrier Services,” Journal of Assisted Reproduction and Genetics, vol. 41, no. 11, pp. 3013-3037, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[18] Barbara Martini, Denise Bellisario, and Paola Coletti, “Human-Centered and Sustainable Artificial Intelligence in Industry 5.0: Challenges and Perspectives,” Sustainability, vol. 16, no. 13, pp. 1-17, 2024.
[CrossRef] [Google Scholar] [Publisher Link]

[19] Josephine Bhavani Rajendra, and Ambikai S. Thuraisingam, “The Role of Explainability and Human Intervention in AI Decisions: Jurisdictional and Regulatory Aspects,” Information and Communications Technology Law, vol. 35, no. 2, pp. 152-183, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[20] Farman Saeed Sedeeq, and Percem Arman, “Human-Centric AI Governance: An Adaptive Public International Law Framework for Ethical and Inclusive AI Regulation in Public Health,” Journal of Law, Medicine and Ethics, vol. 54, no. 4, pp. 1-12, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[21] Niusha Shafiabady et al., “Media Framing and Commercial Surrogacy: An Artificial Intelligence-Driven Analysis,” Cureus Journals, vol. 2, no. 1, pp. 1-11, 2025.
[CrossRef] [Google Scholar] [Publisher Link]

[22] Marcin Smietana, Sharmila Rudrappa, and Christina Weis, “Moral Frameworks of Commercial Surrogacy within the US, India and Russia,” Sexual and Reproductive Health Matters, vol. 29, no. 1, pp. 377-393, 2021.
[CrossRef] [Google Scholar] [Publisher Link]

[23] S.S. Sony Raj et al., Edited Book on Current Trends in Indian Legal Frameworks a Special Edition, Institute of Legal Education, 2025.
[Google Scholar]

[24] Manas Kumar Yogi et al., Building Trust Through AI: AI Approaches to Medical Virology in Future Healthcare Systems, Artificial Intelligence and Blockchain in Precision Medicine and Virology, Springer, Singapore, pp. 243-271, 2025.
[CrossRef] [Google Scholar] [Publisher Link]