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About this Research Topic

Manuscript Summary Submission Deadline 08 March 2024
Manuscript Submission Deadline 21 June 2024

This Research Topic is still accepting articles. For authors aiming to contribute, please submit your manuscript today

We are now entering the third decade of the 21st Century, and in recent years, the achievements made by scientists have been exceptional, leading to major advancements in the still-growing field of Aerospace Engineering.

Artificial Intelligence (AI) is one of the technologies driving the aerospace industry, leading to increasingly autonomous aerospace systems which have resulted in new opportunities to radically alter the state-of-the-art.

The aim of this Research Topic, led by Specialty Chief Editor Professor Kelly Cohen, is to highlight the latest advancements in research across the field of intelligent aerospace systems for civil and commercial aviation, with new insights, novel developments, current challenges, and future perspectives being key areas of interest. To acknowledge the efforts and commitment of authors to shaping this discussion, Professor Kelly Cohen will select and award the best article accepted to this collection.

Topic themes of particular interest include, but are not limited to, the following:
• Trustworthy AI
• Certifiable AI
• Advanced Air Mobility
• Human-AI Teaming
• Assured autonomy
• Air traffic management enabled by AI
• Systems Engineering of AI-Enabled Aerospace Systems
• AI-assisted aerospace design
• Cybersecurity-hardening of AI-driven systems

A brief discussion of some of these topics can be found in this Specialty Grand Challenge article.

All manuscript types are welcome and new articles will be added to this collection as they are published.

Keywords: Artificial Intelligence, Advanced Automation, Aerospace, Assured Autonomy, Aviation, Human-AI Teaming, Intelligent Systems, Trustworthy AI


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

We are now entering the third decade of the 21st Century, and in recent years, the achievements made by scientists have been exceptional, leading to major advancements in the still-growing field of Aerospace Engineering.

Artificial Intelligence (AI) is one of the technologies driving the aerospace industry, leading to increasingly autonomous aerospace systems which have resulted in new opportunities to radically alter the state-of-the-art.

The aim of this Research Topic, led by Specialty Chief Editor Professor Kelly Cohen, is to highlight the latest advancements in research across the field of intelligent aerospace systems for civil and commercial aviation, with new insights, novel developments, current challenges, and future perspectives being key areas of interest. To acknowledge the efforts and commitment of authors to shaping this discussion, Professor Kelly Cohen will select and award the best article accepted to this collection.

Topic themes of particular interest include, but are not limited to, the following:
• Trustworthy AI
• Certifiable AI
• Advanced Air Mobility
• Human-AI Teaming
• Assured autonomy
• Air traffic management enabled by AI
• Systems Engineering of AI-Enabled Aerospace Systems
• AI-assisted aerospace design
• Cybersecurity-hardening of AI-driven systems

A brief discussion of some of these topics can be found in this Specialty Grand Challenge article.

All manuscript types are welcome and new articles will be added to this collection as they are published.

Keywords: Artificial Intelligence, Advanced Automation, Aerospace, Assured Autonomy, Aviation, Human-AI Teaming, Intelligent Systems, Trustworthy AI


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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