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September 18, 20251 citations

What Changes Can Neuro-Symbolic AI Bring to the World

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AGAshok Ghosh

Key Points

  • Neuro-symbolic AI improves transparency and decision-making in various applications, including healthcare.
  • This approach integrates neural networks with symbolic reasoning to enhance safety in autonomous vehicles.
  • Challenges in scalability and integration must be addressed for effective implementation of neuro-symbolic AI.
  • Further research is essential to develop trustworthy AI systems that align with human values in real-world applications.

Abstract

Neuro-Symbolic AI integrates neural networks with symbolic reasoning to improve transparency, decision-making, and safety in applications like healthcare and autonomous vehicles. While promising, it faces challenges in scalability and integration. Further research is needed to develop efficient, trustworthy AI systems aligned with human values.

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Cite This Study

Ashok Ghosh (2025) studied this question.

synapsesocial.com/papers/68d462c131b076d99fa61ccbhttps://doi.org/10.71097/ijsat.v16.i3.8161
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