Is the human expert panel concept obsolete?

Is the human expert panel concept obsolete?

 What is the purpose of this article?

  • This article enables a discussion regarding the future value and structure of expert panels.
  • This article applies to all companies, ranging from pre-revenue through to long established global companies.
  • This article does not provide tax, legal or financial advice.
  • You must do your own research and fact-based analysis using current and relevant information.

AI did not write this article.  100% human written.

You can download a PDF  of this article from: Is the human expert panel obsolete

What are the critical learnings in this article?

  • The traditional expert panel answers questions from a facilitator by sharing anecdotes from the past and opinions about what should be done today.
  • The primary challenge of the traditional expert panel is that their historical experiences don’t reflect current reality or future scenarios in today’s turbulent world.
  • The AI expert panel may consist of several AIs with deep current relevant knowledge and deep analytical frameworks.
  • A human panel can focus on outlining the human implications of past experience in future scenarios.
  • You can create your own AI expert panel to have a discussion about your own questions.
  • You have to design the expert panel: all human, all AI, or a combination of human and AI.

What has been the traditional expert panel?

  • The traditional expert panel answers questions from a facilitator by sharing anecdotes from the past and opinions about what should be done today.
  • These experts have a long and deep history of knowledge and experience.
  • A facilitator asks the panel a series of questions.
  • The audience attends to learn. The audience may come from a wide range of private, public, and government organizations.

Who is in the audience?

  • The audience has a wide variety of people e.g.
  • Different industries
  • Different types of organizations
  • Different types of short and long-term issues

What are some of the challenges with traditional expert panels?

The primary challenge of the traditional expert panel is that their historical experiences don’t reflect current reality or future scenarios in today’s turbulent world.

  • We live in a fast-changing world in which the future is unpredictable.
  • Customer needs, competition, employee expectations, investors expectations change.
  • There are multiple, unforeseen crisis at the same time.

 What has started to replace the human panel of experts?

The AI expert panel may consist of several AIs with deep current relevant knowledge and deep analytical frameworks.

Let’s look at an example:

  • The panel has three AI created consulting partners: McKinsey, Bain, BCG.
  • The AI facilitator asks the panel a question about a business issue. The facilitator will also provide some context.
  • Each AI partner then shares some relevant global fact-based analysis from the past 18 months. This is followed by a specific point of view.
  • The partners then get into a discussion where they challenge each others’ points of view.
  • At the end of the discussion regarding each question, the AI facilitator summarizes the discussion.

What can a human panel do that an AI panel cannot?

A human panel can focus on outlining the human implications of past experience in future scenarios.

When looking at past experience, especially failures the audience should not repeat, the panel can outline:

  • The process for making decisions and gaining commitment to action.
  • Why people supported or didn’t support changes.
  • The human interrelationships and politics of failure.
  • The metrics being tracked before decisions were made and ever afterwards.
  • The role of value, morals, and ethics.

What are the implications for you as an individual?

  • You can create your own AI expert panel to have a discussion about your own questions.
  • You can provide the AI experts with public information about your company.
  • You might be able to provide confidential information to the AI experts if you run a Large Language Model locally on your computer.

What are your next steps?

  • Define the words/concepts you’re using, in a glossary. I’ve seen major confusion when the same words mean different things to different people.
  • Describe your audience and their learning objectives for attending? What are the issues and challenges requiring insights from the expert panel?
  • Determine the type of panel you need e.g. all human, all AI, or a combination of human and AI.

What further reading should you do?

Is your company planning to fail?

https://koorandassociates.org/avoiding-business-failure/is-your-company-planning-to-fail/

What is learning?

https://koorandassociates.org/creating-business-value/why-have-your-minimized-your-talent/

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