Re: mapping resilience engineering RE, in relation to PEL

Resilience engineering is defined in terms in the EU AI Act and similar
legislation or recommendations from international bodies.
Unfortunately not necessarily the best theoretical frameworks are used in
most cases, because the EU and most other international organizations and
national governments have chosen to implement legislation  that is
politically sufficient for empirical adequacy.
And the very term resilient has so many operational definitions, that
comparing national legislation across multiple countries can often be
analogous to the apples and oranges comparison predicament.

It saddens me to say that mathematicians,  scientists and engineers are
often the last ones to consult in drafting legislation on highly technical
issues, in particular related to Internet services, software and AI
development, and worse their recommendations set aside, ignored or watered
down to be effectively not useful any more, but they will be the FIRST ONES
to blame, when the proverbial "shit hits the fan".
And when mathematicians,  computer scientists and software engineers do
sound the alarm in AI companies publicly, the messengers get killed and the
message promptly downplayed, repudiated or set aside or dismissed as a
minority opinion.

Resilience engineering has different meanings across multiple academic
fields where AI is used and coming up with a generalized definition will be
very hard.
It would be more useful to find a term that suits knowledge representation
for AI,  and see how this translates into the mathematical framing in
academic fields of application.

On Thu, May 14, 2026, 04:17 Paola Di Maio <paola.dimaio@gmail.com> wrote:

>
>  KR is vast,  the current scope of work is about natural language models
> and conceptual diagrams of things
> that matter to AI. AI Risks/reliability is a matter of concern that was
> first raised on this list in 2025/
>
> *The rationale*
> There is a need to capture, measure and improve the reliability of AI
> systems
> How do we define reliability then?
>
> A bubble *elipse? was  added to help define the AIKR metamodel
> https://www.w3.org/community/aikr/wiki/File:AI_KR_VOCABS_NOV_2025.jpg
>
> I am now sharing a draft concept map for RE  *working on more refined
> versions
> could benefit from being curated
> https://www.w3.org/community/aikr/wiki/Reliability_Engineering
>
> The version of the RE concept model is shared following Stephen Watt  in
> cc intro post to PEL *People Evidence Lab
>
> PDM
>


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