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Did AI or Poor Design Nearly Crash Lou's Airliner?

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Title: Did AI or Poor Design Nearly Crash Lou's Airliner?
Authors: Bielmann, Louis, Neufeld, Derrick, Belik, Ivan
Source: Ivey Business Journal. Jan/Feb2024, p2-8. 7p.
Subjects: Artificial intelligence, Flight training, Transport planes, Timeout method, Automatic pilot (Airplanes)
Abstract: This article explores the increasing use of artificial intelligence (AI) in various industries, with a focus on the United States and China. It discusses the investment in AI ventures and the specific areas of driverless vehicles, healthcare, pharmaceuticals, and biotechnology. The article also shares a cautionary tale of an AI system failure in an airliner, highlighting the limitations and risks of automation. The conversation between academics delves into the challenges of designing systems that can handle unforeseen situations and the role of AI in addressing these challenges. The article discusses different design approaches used in information systems, such as the linear "waterfall" method and the iterative "agile" approach. It points out the drawbacks of the waterfall approach and the insufficiency of AI in handling unknown situations. The authors propose a collaborative intelligence approach that combines AI and human decision-making for more effective solutions. The article emphasizes the importance of learning from failures and continuous improvement in the aviation industry. [Extracted from the article]
Copyright of Ivey Business Journal is the property of Ivey Business School Foundation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Regional Business News
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  Availability: 1
Header DbId: bwh
DbLabel: Regional Business News
An: 177075488
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Label: Title
  Group: Ti
  Data: Did AI or Poor Design Nearly Crash Lou's Airliner?
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Bielmann%2C+Louis%22">Bielmann, Louis</searchLink><br /><searchLink fieldCode="AR" term="%22Neufeld%2C+Derrick%22">Neufeld, Derrick</searchLink><br /><searchLink fieldCode="AR" term="%22Belik%2C+Ivan%22">Belik, Ivan</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Ivey+Business+Journal%22">Ivey Business Journal</searchLink>. Jan/Feb2024, p2-8. 7p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Flight+training%22">Flight training</searchLink><br /><searchLink fieldCode="DE" term="%22Transport+planes%22">Transport planes</searchLink><br /><searchLink fieldCode="DE" term="%22Timeout+method%22">Timeout method</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+pilot+%28Airplanes%29%22">Automatic pilot (Airplanes)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This article explores the increasing use of artificial intelligence (AI) in various industries, with a focus on the United States and China. It discusses the investment in AI ventures and the specific areas of driverless vehicles, healthcare, pharmaceuticals, and biotechnology. The article also shares a cautionary tale of an AI system failure in an airliner, highlighting the limitations and risks of automation. The conversation between academics delves into the challenges of designing systems that can handle unforeseen situations and the role of AI in addressing these challenges. The article discusses different design approaches used in information systems, such as the linear "waterfall" method and the iterative "agile" approach. It points out the drawbacks of the waterfall approach and the insufficiency of AI in handling unknown situations. The authors propose a collaborative intelligence approach that combines AI and human decision-making for more effective solutions. The article emphasizes the importance of learning from failures and continuous improvement in the aviation industry. [Extracted from the article]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ivey Business Journal is the property of Ivey Business School Foundation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 7
        StartPage: 2
    Subjects:
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Flight training
        Type: general
      – SubjectFull: Transport planes
        Type: general
      – SubjectFull: Timeout method
        Type: general
      – SubjectFull: Automatic pilot (Airplanes)
        Type: general
    Titles:
      – TitleFull: Did AI or Poor Design Nearly Crash Lou's Airliner?
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            NameFull: Bielmann, Louis
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            NameFull: Neufeld, Derrick
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            NameFull: Belik, Ivan
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          Dates:
            – D: 01
              M: 01
              Text: Jan/Feb2024
              Type: published
              Y: 2024
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            – Type: issn-print
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            – TitleFull: Ivey Business Journal
              Type: main
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