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Exploring the Future of Artificial Intelligence in Aerospace: Opportunities and Challenges

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The article discusses the outcomes of the International Scientific Conference on Applied Artificial Intelligence held at St. Petersburg State University of Aerospace Instrumentation. It highlights the multifaceted applications of AI in aerospace instrumentation, engineering, information security, and education, while addressing the associated risks and challenges.
  • main points
  • unique insights
  • practical applications
  • key topics
  • key insights
  • learning outcomes

  • • main points

    • 1
      Comprehensive overview of AI applications in various fields
    • 2
      In-depth exploration of risks associated with AI development
    • 3
      Involvement of leading experts and institutions in the conference

  • • unique insights

    • 1
      Discussion on the integration of AI in aerospace technology and its lifecycle management
    • 2
      Emphasis on the need for a unified information space in the aerospace sector

  • • practical applications

    • The article provides valuable insights into the practical applications of AI in aerospace and engineering, along with considerations for addressing potential risks.

  • • key topics

    • 1
      AI applications in aerospace instrumentation
    • 2
      Lifecycle management of complex technical objects
    • 3
      Risks associated with AI development

  • • key insights

    • 1
      Focus on the intersection of AI and aerospace technology
    • 2
      Insightful discussions on the implications of AI in society
    • 3
      Engagement of a diverse range of experts and institutions

  • • learning outcomes

    • 1
      Understanding the applications of AI in aerospace technology
    • 2
      Identifying risks associated with AI development
    • 3
      Gaining insights into lifecycle management of complex technical objects
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“ Introduction

The International Scientific Conference on 'Applied Artificial Intelligence: Prospects and Risks' was held at the St. Petersburg State University of Aerospace Instrumentation on October 17, 2024. This event brought together leading scientists, specialists, and students from various fields to discuss the multifaceted applications of artificial intelligence (AI) in diverse sectors.

“ Overview of the Conference

The conference served as a platform for over a hundred presentations focusing on the integration of AI technologies in aerospace instrumentation, engineering, information security, and education. It aimed to foster discussions on both the benefits and potential hazards associated with rapid AI advancements.

“ Key Themes and Topics

Key topics included the implementation of AI in aerospace engineering, the development of intelligent interfaces, and the creation of applied intelligent systems. The discussions emphasized the need for a balanced approach to harnessing AI's capabilities while addressing its inherent risks.

“ Artificial Intelligence in Aerospace Engineering

AI technologies are increasingly pivotal in aerospace engineering, facilitating enhanced data analysis, predictive maintenance, and improved design processes. The integration of AI into these areas promises to optimize operations and reduce costs significantly.

“ Life Cycle Management of Space Technology

Effective life cycle management (LCM) of space technology is crucial for ensuring the longevity and reliability of aerospace systems. The conference highlighted methodologies for integrating AI into LCM processes, focusing on data-driven decision-making and real-time monitoring.

“ Challenges and Risks of AI

Despite its advantages, the rapid development of AI poses several risks, including data security concerns, misinformation, and the potential for loss of control over automated systems. The conference discussions aimed to identify strategies to mitigate these risks.

“ The Role of Unified Information Space

Creating a unified information space is essential for effective collaboration among stakeholders in the aerospace sector. This approach enables seamless data sharing and enhances the overall efficiency of life cycle management processes.

“ Future Prospects and Innovations

Looking ahead, the integration of AI into aerospace engineering and LCM is expected to evolve, leading to innovative solutions and improved operational efficiencies. The conference underscored the importance of continuous research and development in this field.

“ Conclusion

The conference concluded with a call to action for researchers and practitioners to collaborate in addressing the challenges posed by AI while leveraging its potential to drive advancements in aerospace technology. The motto 'Create with Intelligence' encapsulates the spirit of responsible AI application.

 Original link: https://guap.ru/content/aai/sbornik2024.pdf

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