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October 3, 2025International Journal For Multidisciplinary ResearchOpen Access

Human Vulnerability, Machine Law: Ethical Risks and Global Governance Challenges in Generative AI

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Authors

KAKaukab AnsariSinhgad Dental College and Hospital

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Implication

Mixed-methods study investigates AI models' safety for mental health support in users, highlighting global policy challenges.

Key Points

  • Results show that 55.4% of users found AI chatbots not helpful for emotional support, indicating significant risk.
  • Over 79.2% of users prefer human therapists for privacy concerns, emphasizing the limitations of AI in sensitive contexts.
  • The study identifies a disparity in AI governance between the EU and Global South, impacting ethical framework effectiveness.
  • Overall, findings suggest the use of generative AI for mental health is premature and raises substantial ethical risks.

Cite This Study

Kaukab Ansari (2025) studied this question.

synapsesocial.com/papers/68e02f40f0e39f13e7fa2a13https://doi.org/10.36948/ijfmr.2025.v07i05.56786
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions2026 · 2 citations
  2. 2Ethical risk prevention in client generative artificial intelligence (genAI) use: Applying the primary risk-management model.2026
  3. 3Generative AI as digital therapy: What we know and how to make it better?2025
  4. 4The Impact of Generative Artificial Intelligence on Mental Health: Opportunities, Challenges, and Ethical Concerns2026
  5. 5Enhancing ethical codes with artificial intelligence governance – a growing necessity for the adoption of generative AI in counselling2024 · 8 citations