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Stakeholder education

As explained in Starting Data Analytics with Generative AI and Python

Stakeholder education is the planned development of knowledge and practical understanding among people affected by or involved in an AI system.

Stakeholder education develops the knowledge and practical understanding needed to use AI safely. It helps developers, IT staff, decision-makers, end users, and customers understand model capabilities and limitations. section 8.2.3

Effective education combines:

  • Training sessions and workshops covering AI technologies, relevant technical concepts, potential applications, ethical considerations, and regulatory compliance. section 8.2.3
  • Accessible learning resources, including expert talks, introductory online courses, lectures, and relevant educational video channels. section 8.2.3
  • Business-context guidance that matches technical detail to each stakeholder’s responsibilities and prepares people for potential misuse. section 8.2.3

How Starting Data Analytics with Generative AI and Python covers it

How deep it goes
Provides an educational strategy with workshop topics and resource types, but does not specify a detailed curriculum or assessment process.
Examples
Uses workshops, TED Talks, Coursera and edX courses, lectures, and accessible educational YouTube channels.
What you can do after
Evaluate/understand AI capabilities, limitations, applications, ethical considerations, and compliance obligations.
How it connects
Connects generative AI with ethics, regulatory compliance, deep learning, and machine learning.

Also explained in

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.