SAE Update - December 2023 - 15

TECH FOCUS:
AI AND AUTOMATION
Identify the
concerns
Define a modulation
of the standard
objectives according
to criteria
Capture regulatory
requirements and
define the scope of
the standard
deliverable will be documented
standards, which provide
guidance to assure safe and
secure systems utilizing AI,
through an agreed acceptable
means of compliance with
regulatory requirements.
The first objective of the joint
Define engineering
processes with
objectives and
activities
Define a strategy to
integrate the new
standard into the
aviation ecosystem
Define high-level
desired properties
Build an
end-to-end view
High-level methodology the joint committees use to create an AI-focused
aerospace standard.
working groups were set up independently on either
side of the Atlantic to address concerns around
assuring products and services that exploit AI
technologies. WG-114 was established by EUROCAE-
The European Organisation for Civil Aviation
Equipment-and SAE's G-34 committee acted as its
American counterpart. Both groups were created to
produce guidance on safe, secure, and successful
adoption of AI technologies in aeronautical systems,
through consensus amongst many experts and
practitioners in industry and academia.
In a bilateral agreement, the groups formed a joint
committee in June 2019. Currently, the joint working
group is evaluating key applications for AI usage
within aeronautical systems, with a scope
encompassing ground-based equipment and airborne
vehicles, including unmanned aircraft system (UAS)
products. In terms of processes, the full lifecycle is
under consideration, from design and manufacture to
operation and through-life maintenance. A key
UPDATE
working group was to develop
and publish a technical report, a
comprehensive statement of
concerns (SOC), outlining the
scope and purpose of the
group's work and considering
the concerns before imagining
the solutions. Thus, AIR6988/ER022,
Artificial Intelligence in
Aeronautical Systems: Statement
of Concerns, was published in
April 2021. This document
reviews current aerospace
software, hardware, and system
development standards used in
the certification/approval
process of safety-critical
airborne and ground-based
systems, and assesses whether
these standards are compatible
with a typical AI and machine
learning (ML) development
approach. The document then
outlines what is required to
produce a standard that provides
the necessary accommodation to
support integration of MLenabled
sub-systems into safetyDecember
2023
15
SAE International

https://www.sae.org/standards/content/air6988/ https://eshop.eurocae.net/eurocae-documents-and-reports/er-022/ https://eshop.eurocae.net/eurocae-documents-and-reports/er-022/

SAE Update - December 2023

Table of Contents for the Digital Edition of SAE Update - December 2023

SAE Update - December 2023 - Cov1
SAE Update - December 2023 - Cov2
SAE Update - December 2023 - 1
SAE Update - December 2023 - 2
SAE Update - December 2023 - 3
SAE Update - December 2023 - 4
SAE Update - December 2023 - 5
SAE Update - December 2023 - 6
SAE Update - December 2023 - 7
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SAE Update - December 2023 - 12
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