Page 73 - IMDR Journal 2025

Research Article
and build stronger relationships. o Develop AI models tailored to India's multilingual and
multicultural context to reduce bias. How can AI systems be
6. Work With Regulators to Set the Right Rules
designed to account for India's diverse demographics and
Team up with Indian regulators like IRDAI to set clear rules healthcare needs?
for how technology is used in insurance. Make sure the
system follows laws like the Digital Personal Data 5. Impact of Hybrid Models
Protection Act (2023) to keep people’s information safe. o Evaluate the effectiveness of hybrid human-AI workflows
Push for industry-wide standards so that all insurance in improving customer satisfaction and trust. How can
companies stay fair and open when using technology. insurers optimize the balance between automation and
human oversight?
CONCLUSION REFERENCES/BIBLIOGRAPHY
The study underscores that while AI-driven claims Allstate. (2021). Quick Foto Claim Revolutionizing Auto
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The ones who choose the second path will earn something
Lemonade. (2022). AI-Powered Claims Processing: The
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Lemonade. (2023). Hybrid AI-Human Workflows in
Scope for Future Research
Insurance.
1. AI Bias in Indian Health Insurance
McKinsey & Company. (2020). How AI is Transforming the
o Investigate how cultural and socioeconomic factors in Insurance Industry.
India influence algorithmic bias in claims processing. For McKinsey & Company. (2023). Global Adoption of AI in
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impact AI decision-making?
Progressive. (2023). Snapshot: Personalized Insurance
2. Regulatory Implications
Through Telematics.
o Explore regulatory frameworks for AI in insurance, PwC India. (2023). AI in Indian Insurance: Opportunities
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evolving data privacy laws. How can regulators ensure
ethical AI use while promoting innovation? Rai, A. (2021). Explainable AI: Bridging the Gap Between
Technology and Trust. Springer.
3. Long-Term Trust Dynamics
Reserve Bank of India (RBI). (2023). Framework for Ethical
o Study how prolonged exposure to AI systems affects AI Use in Financial Services.
consumer trust and loyalty over time. For example, does
increased familiarity with AI improve trust, or do recurring Smith, J., & Johnson, R. (2020). AI in Auto Insurance: A
issues erode it? Comparative Study of Traditional and AI-Based Claims
Processing. Journal of Insurance Technology.
4. Technical Solutions for Fairness

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