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Artificial Intelligence for Air Safety

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Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 402)

Abstract

Safety is a vital aspect of aviation industry, and emphasis has been made by all stakeholders in the industry to ensure aviation safety. Strict safety and regulatory procedures are adapted during all phases of aviation including design and development, manufacturing, operations, maintenance and ground services. Still, accidents and incidents persist in aviation, resulting in loss of human life and huge losses to airlines and aircraft OEMs. Artificial intelligence is an evolving domain, which has gained lot of importance during the last decade, predominantly due the capacity of AI systems to handle and process huge amount of data and implement complex algorithms. This paper is indented to improve the aviation safety with the prudent use of artificial intelligence. The paper focuses on how the effects of the factors like pilot fatigue, adverse weather and false warnings, which affect aviation safety, can be mitigated with the use of artificial intelligence.

Keywords

  • Artificial intelligence
  • Machine learning
  • Smart cockpit assistant
  • Aviation safety

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  • DOI: 10.1007/978-3-030-63396-7_39
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Correspondence to Rajesh Gandadharan Pillai .

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Pillai, R.G., Devrakhyani, P., Shetty, S., Munji, D. (2020). Artificial Intelligence for Air Safety. In: Themistocleous, M., Papadaki, M., Kamal, M.M. (eds) Information Systems. EMCIS 2020. Lecture Notes in Business Information Processing, vol 402. Springer, Cham. https://doi.org/10.1007/978-3-030-63396-7_39

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  • DOI: https://doi.org/10.1007/978-3-030-63396-7_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63395-0

  • Online ISBN: 978-3-030-63396-7

  • eBook Packages: Computer ScienceComputer Science (R0)