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Updated: Sep 20, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Knowledge management and ethical vulnerability in AI.

Aanchal Sethi1, Tushar Tangri1, Divyansh Puri1

  • 1SRM IST Delhi-NCR Campus Delhi, Meerut Road, Modinagar, Uttar Pradesh 201204 India.

AI and Ethics
|June 7, 2022
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) and knowledge management (KM) integration offers significant automation potential for India's economy, particularly in healthcare, farming, finance, and IT. Addressing ethical concerns is crucial for realizing these future prospects.

Keywords:
Artificial IntelligenceEthical vulnerabilityKnowledge management

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Area of Science:

  • Technology and Economics
  • Artificial Intelligence
  • Knowledge Management

Background:

  • The Indian economy is poised for significant transformation through technological integration.
  • Automation presents both opportunities and challenges for economic growth and efficiency.
  • The synergy between Artificial Intelligence (AI) and Knowledge Management (KM) is a key driver for future economic development.

Purpose of the Study:

  • To analyze the combined prospects of AI and KM in the Indian economic context.
  • To identify key sectors in India ripe for automation and efficiency gains.
  • To explore ethical considerations and mitigation strategies for AI and KM implementation.

Main Methods:

  • Review of current AI and KM applications in the Indian economy.
  • Analysis of future automation trends in key sectors.
  • Discussion of ethical frameworks and gap-filling strategies.

Main Results:

  • Healthcare, farming, finance, and the IT sector are identified as primary areas for AI and KM-driven automation in India.
  • The integration of AI and KM is projected to enhance efficiency across various economic domains.
  • Ethical vulnerabilities associated with AI and KM adoption have been identified.

Conclusions:

  • Strategic implementation of AI and KM can significantly boost India's economic automation prospects.
  • Proactive measures are needed to address ethical challenges and ensure equitable development.
  • Bridging the gap between automation goals and potential issues is vital for sustainable growth.