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Artificial Intelligence (AI) enhances critical infrastructure resilience. Ensuring healthy human-AI interaction is vital for safe operations in energy and mobility sectors.

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Area of Science:

  • Computer Science
  • Decision-Making Sciences
  • Psychology
  • Industrial Practices

Background:

  • Artificial Intelligence (AI) is revolutionizing society and critical infrastructures.
  • AI integration enhances operational flexibility and resilience against hazards.
  • The rise of AI necessitates a new paradigm for human-AI interaction.

Purpose of the Study:

  • To outline challenges and requirements for effective human-AI interaction.
  • To explore interdisciplinary approaches merging computer science, decision-making, psychology, and industry.
  • To analyze emblematic safety-critical scenarios in energy and mobility.

Main Methods:

  • Interdisciplinary review of human-AI interaction.
  • Focus on safety-critical systems in power grids, railway networks, and air traffic management.
  • Analysis of AI's role in decision-making and human collaboration.

Main Results:

  • Identified critical challenges in defining roles for humans and AI systems.
  • Highlighted the need for a well-defined ecosystem for healthy human-AI collaboration.
  • Emphasized the importance of an interdisciplinary approach for effective integration.

Conclusions:

  • Effective human-AI interaction is crucial for leveraging AI in safety-critical domains.
  • Further research is needed to establish clear frameworks for human-AI collaboration.
  • Successful integration requires addressing technical, psychological, and industrial aspects.