SAE and Eurocae Ask Whether Artificial Intelligence and Machine Learning Standards Are Fit For Aviation Purposes

The international standards organizations have published new guidance on how artificial intelligence and machine learning can be safely and appropriately applied

Daedalean AI — Daedalean is one of several specialist companies looking to apply artificial intelligence and machine learning technology to applications such as autonomous flight operations. (Image: Daedalean)

By Charles Alcock • Managing Editor

July 1, 2021

SAE International, the global industry association focused on establishing engineering standards in the mobility sector, this week published new guidance on how artificial intelligence (AI) technology can be safely and successfully adopted for aviation applications. The new AIR6988 Artificial Intelligence Systems: Statement of Concerns document has been jointly prepared by SAE’s G-34 committee and the WG-114 committee of the U.S.-based organization’s European counterpart Eurocae.

The document considers the degree to which current standards for aerospace software, hardware, and system development are compatible with typical development approaches involving the use of AI and machine learning (ML). The committees are aiming to review all existing standards, identifying gaps that need filling to ensure AI and ML standards are sufficiently reliable.

The rest of this article continues for AIN Members with the full report, analysis and background. The rest of this article continues for AIN Members with the full report, analysis and background. The rest of this article continues for AIN Members with the full report, analysis and background. The rest of this article continues for AIN Members with the full report, analysis and background. The rest of this article continues for AIN Members with the full report, analysis and background.

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