Legal Frameworks And Ethical Implications Of AI In Maternal Mental Health: Protecting Pregnant Women’s Psychological Well-Being In The Digital Age
- IJLLR Journal
- Nov 9, 2025
- 1 min read
Mohd Amanullah, LL.M., Jamia Hamdard
Dr. Zafrul Hassan, Assistant Professor at Jamia Hamdard
Juveria Fatima, Advocate at Lucknow High Court
ABSTRACT
The integration of Artificial Intelligence (AI) in maternal mental health care is revolutionizing how psychological well-being is monitored and managed during pregnancy. This paper introduces a novel AI-powered tool developed to predict and monitor mental health challenges in pregnant women. Using predictive analytics and real-time mental health assessment, the tool enables early detection and personalized interventions for conditions such as anxiety, depression, and mood disorders. Despite the tool's effectiveness, the deployment of AI in this domain raises significant legal and ethical concerns, particularly around data privacy, informed consent, and algorithmic fairness. This study leverages a comprehensive dataset of 500,000 pregnant women, evaluating the performance of multiple AI models integrated into the tool. The Random Forest algorithm, achieving 100% accuracy, outperformed other models, including SVM (98.7%) and Logistic Regression (97.6%). Additionally, this paper examines current legal frameworks like GDPR and India's IT Act, identifying critical gaps in their applicability to AI in maternal healthcare. It also discusses the ethical implications of using AI in such a sensitive domain, emphasizing the importance of transparency, data security, and patient autonomy. Ultimately, this study advocates for developing AI- specific legal frameworks and ethical safeguards to ensure that tools like the one presented here can deliver safe, effective, and equitable healthcare solutions for pregnant women.
Keywords: Artificial Intelligence, Maternal Mental Health, Legal Frameworks, Ethical Implications, Data Privacy, Informed Consent, Pregnancy, Machine Learning, Predictive Analytics
