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  1. Home
  3. Navigating Artificial General Intelligence Development: Societal, Technological, Ethical, And Brain-inspired Pathways.
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  3. Navigating Artificial General Intelligence Development: Societal, Technological, Ethical, And Brain-inspired Pathways.

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Navigating artificial general intelligence development: societal, technological, ethical, and brain-inspired

Raghu Raman1, Robin Kowalski2, Krishnashree Achuthan3

  • 1Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Amritapuri, Kerala, 690525, India. raghu@amrita.edu.

Scientific Reports
|March 12, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study outlines five key pathways for responsible artificial general intelligence (AGI) development, emphasizing societal integration, technological advancement, explainability, ethics, and brain-inspired systems for human-centered applications.

Keywords:
Artificial general intelligenceBrain inspiredEthical AIEthicsHuman-like AIResponsible AIStrong AISuperintelligenceTopic modelingWeak AI

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Area of Science:

  • Artificial General Intelligence (AGI) research and development.
  • Interdisciplinary studies in AI ethics, cognitive science, and societal impact.
  • Neuroscience-inspired AI and machine learning.

Background:

  • Artificial General Intelligence (AGI) development necessitates alignment with societal, technological, and ethical considerations.
  • Existing research often addresses these pathways in isolation, lacking a unified framework.
  • Responsible AGI integration requires understanding its multifaceted impacts on human systems.

Purpose of the Study:

  • To systematically identify and analyze key pathways shaping AGI's trajectory.
  • To propose a conceptual framework connecting AI advancements with practical, ethical, and societal applications.
  • To address the technical, ethical, and societal challenges inherent in AGI development.

Main Methods:

  • Systematic literature review employing the PRISMA framework.
  • Topic modeling using BERTopic to identify underexplored AGI themes.
  • Synthesis of insights across disciplines to form a comprehensive roadmap.

Main Results:

  • Identification of five critical pathways: societal integration, technological advancement, explainability, cognitive/ethical considerations, and brain-inspired systems.
  • Uncovering of underexplored AGI themes and proposal of a unifying conceptual framework.
  • Highlighting of emerging frontiers like AGI-consciousness interfaces and collective intelligence.

Conclusions:

  • Interdisciplinary collaboration is crucial to bridge gaps in AGI transparency, governance, and societal alignment.
  • Strategies for equitable access, workforce adaptation, and sustainable AGI integration are proposed.
  • The study provides a roadmap for balancing AGI innovation with ethical and societal responsibilities for enhanced societal progress.