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Generative AI: We Can't Even Predict What Is Unpredictable

1 March 2023
Dr. Moria Levy
round table illustration

Yes, ChatGPT and all other generative AI tools are here, and they are changing the way we work.


The KMGN round table series today opened with this session today, led by Annie Green and the panelists: Omkar Pandharkame, @Adam Forrester, Darren Harbutt, and Tony Rhem.


Let's start from the end; they have limitations:


The sources are unknown;


The sources are limited (as of the time these lines were written in 2021);


The content is biased, like any other machine learning algorithm.


Too many people don't yet understand what and how to use the tools best;


too many people are afraid it will replace them.


Let's go back. What do these tools provide today (of course, with some limitations)?


The ability to learn the concepts and sub-topics related to a defined subject;


The ability to understand a topic;


The ability to generate code/design/content;


The ability to proofread content in English;


The ability to translate content to some other language (with caution using M.L.);


The ability to contextualize content to a specific target sector or in a specific style;


The ability to summarize;


The ability to help brainstorm.


All of these are relevant to any knowledge worker, starting with us knowledge managers.


How can we use these tools wisely?


By choosing suitable generative AI tools (which is not easy given the many new ones every day); verifying organizational processes that augment SMEs and generative AI tools; being aware of cognitive biases and deliberately searching for them; and applying critical thinking to all results.


I am personally very excited about this future.



 This post was initially published in LinkedIn


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