International Standardization Council

  • 1.  Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Feb 07, 2025 12:49:00 AM

    Looking back at the work you guys have done, and the rapid progress with reasoning models (o1,R1). 

    I wanted to gauge the interest of this group to see if anyone is interested to adopt AI agents as a force multiplier.

    Some use cases 

    • Check nomenclature 
    • Validate ISO references / proper standards.  

    Let me know what you guys think, I can spin up something if there is interest around this.



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    Mithilesh Ramaswamy CCSK, CCZT, CSM
    Sr Engineer
    Microsoft
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  • 2.  RE: Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Feb 24, 2025 08:00:00 AM

    @Eric Hibbard @JOHN DIMARIA let me know if you have sample docs i can work with 



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    Mithilesh Ramaswamy CCSK, CCZT, CSM
    Sr Engineer
    Microsoft
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  • 3.  RE: Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Feb 25, 2025 07:35:00 AM

    I will ping our research people to see what we can share.



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    JOHN DIMARIA
    ME
    CSA
    [email protected]
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  • 4.  RE: Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Feb 25, 2025 08:39:00 AM

    I think Kurt does a lot of this. Maybe, approach him first?



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    Michael Roza CPA, CISA, CIA, CC, CCSKv5, CCZTv1, MBA, EMBA, CSA
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  • 5.  RE: Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Feb 25, 2025 09:08:00 AM
      |   view attached

    Here is a list of research papers that reference ISO standards. 



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    JOHN DIMARIA
    ME
    CSA
    [email protected]
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  • 6.  RE: Experimenting with AI tools(AI agents) to come up with to help ISC

    Posted Apr 16, 2025 11:31:00 PM
    Edited by Mithilesh Ramaswamy Apr 17, 2025 08:59:22 AM

    Hi folks I'd like to add some results, playing around with AI models look promising

    Pros :

    • Does a fast job giving an outline of improvements
    • Suggests text standardizations of texts
    • Can operate at scale

    Cons: 

    • Prompting need to be specific and in depth 
    • We do not know what was missed 

    Learnings

    • More detailed and specific the prompts are the better results we get
    • Reasoning models( R1, o1, Grok) do a reasonable job 
    • We can spin up and agent which does 80% of the toil very fast

    I asked it(R1- Perplexity version) to suggest improvements in one of the CSA paper I contributed to: 


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    Mithilesh Ramaswamy CCSK, CCZT, CSM
    Sr Engineer
    Microsoft
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