I would add that about 9 out of 10 power engineers I’ve worked with over the 
years are equally confused with the “convention” of power factor and sign 
convention of real and reactive power flow.  Microelectronics engineers also 
often get the sign convention wrong when considering current source or sink 
from a logic gate or an op-amp.   I wouldn’t beat up on ChatGPT for struggling 
with that very specific topic.

 

Ralph

 

From: Brian Gregory <brian_greg...@netzero.net> 
Sent: Tuesday, October 10, 2023 9:16 AM
To: EMC-PSTC@LISTSERV.IEEE.ORG
Subject: Re: [PSES] AI & Regulatory Compliance

 

 

Chat GPT is essentially a BS generator.  A very smart friend, a very successful 
entrepreneur, finds it quite useful for writing add copy, which I think proved 
my point.

 

The one time I tried challenging GPT with a question on power factor with 
generator convention (where positive power generation is represented as 
negative), it failed miserably. 

 

Echoing Dan's point;  what other AI's are more suitable to electrical 
engineering concepts, including testing and reviewing lists of standards?  If I 
had to pick one question for an AI I think might qualify would be:  " does this 
requirement apply to a residential unit? "  

 

 Colorado Brian 



---------- Forwarded Message ----------
From: Dan Roman <00000d75e04ed751-dmarc-requ...@listserv.ieee.org 
<mailto:00000d75e04ed751-dmarc-requ...@listserv.ieee.org> >
To: EMC-PSTC@LISTSERV.IEEE.ORG <mailto:EMC-PSTC@LISTSERV.IEEE.ORG> 
Subject: Re: [PSES] AI & Regulatory Compliance
Date: Mon, 9 Oct 2023 22:21:26 -0400

Has anyone tried feeding a standard or set of standards, into Chat GPT for 
example, and ask it product construction or testing questions? I've seen demos 
of Chat GPT digesting complex equipment manuals and being able to generate what 
amounts to a quick start guide and answer questions about operating or 
servicing the equipment. I can't try this with the free version.

--

Dan Roman

danp...@verizon.net <mailto:danp...@verizon.net> 

On Oct 9, 2023, at 7:31 PM, Douglas Powell <doug...@gmail.com 
<mailto:doug...@gmail.com> > wrote: 

I've done some playing around with ChatGPT, Claude.AI, Perplexity.AI, BIng 
Chatbot, and a few others.  

 

My first test was to see if these Large Language Models (LLM) could accurately 
answer questions where I feel I have good expertise, such as "How do I select a 
complete list of safety-critical components using UL XYZ?" or "Write a 
comprehensive Test Protocol for  a ____ kitchen appliance using IEC 
60335-*X-X." For the most part they failed in several points when the questions 
got just a little technical.  Sometimes, I would challenge the AI on answers it 
gave, and occasionally it would backpedal. 

 

Even so, I do find them useful as a starting point for writing White Papers and 
PowerPoint slides or procedural documents at the paragraph-level, for internal 
distribution.  Try prompting an AI to generate 20 PowerPoint slides for basic 
Risk Assessment Training using ISO 31000.  In every case however, I only use AI 
to do the initial grunt work and then personally edit everything for accuracy. 
So far, my favorite is Perplexity.AI because it gives attribution of sources 
for all its answers, second place is possibly Claude.AI.  And been using 
QuillBot.AI to check grammar and paraphrase complex paragraphs.  But when it 
comes to life-safety issues, I will always be very careful and check the work.

 

Incidentally, I've tried a few fun things as a lunchtime diversion.  I'll 
prompt the AI with something like: "Entropy simply isn’t what it used to be."  
or "Schrödinger’s cat walks into a bar. And doesn’t." And of course the AI 
never gets the joke.  

 

-Doug

 

Douglas E Powell

Laporte, Colorado, USA

 <https://www.linkedin.com/in/coloradocomplianceguy/> LinkedIn

 

(UTC-06:00, US-MDT)

 

 

 

 

 

On Fri, Oct 6, 2023 at 3:59 PM Regan Arndt <reganar...@gmail.com 
<mailto:reganar...@gmail.com> > wrote:

Greetings fellow members,

Our industry will not be immune to this new era of AI technology and want to 
bring up this topic again to obtain some more insight from the forum into:

"How do you think AI will play a future role in our Regulatory compliance 
world?"

 

I can see some real benefits to this when applying it to a risk assessment, EMC 
redesign including change out of critical components, & possibly to help 
support engineering judgments in lieu of testing (i.e. temperature modeling), 
etc.…though I think we would have to include the usage of AI as one of the 
potential risks in the risk assessment. lol

UL touched base on this topic during their UL Innovations summit held in 
Fremont, CA yesterday.

I know there is the ISO/IEC DTR 5469 in development, but this appears, I 
believe, to only address functional safety of the AI systems in question, and 
not addressing AI in normal compliance assessments for products under the 
category of laboratory, IT, audio, etc.

Also, is there someone out there that will be speaking to this during the 2024 
ISPCE in Chicago next May? Perhaps there should be an IEEE PSES technical 
committee created for this?

Side note: Nordcloud puts out a good summary blog on this:  
<https://nordcloud.com/blog/how-ai-can-help-you-obtain-regulatory-compliance/> 
https://nordcloud.com/blog/how-ai-can-help-you-obtain-regulatory-compliance/

There are other AI blogs out there in the ether but more tuned for the 
financial sector and other industries….

Looking forward to the discussion.

 

P.S.

I am now the Chair for the IEEE PSES Risk assessment technical committee and am 
looking for any volunteers to join our group. This topic will be one to discuss 
soon within our group. Please email me at  <mailto:regan.ar...@ieee.org> 
regan.ar...@ieee.org or  <mailto:reganar...@gmail.com> reganar...@gmail.com if 
you are interested in joining.

Cheers!

Regan Arndt


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