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? |
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| 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] |
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| Database: | Regional Business News |
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| 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] |
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| ISSN: | 14818248 |
