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September registration closed. Now accepting registration for October.

AI Content Policy for Editors

From Development to Disclosure

Gain the tools and knowledge to design effective generative AI content policies that promote responsible usage, preserve editorial integrity, and maintain reader trust.

 

AI Content Policy for Editors is tailored to provide editors and organizations with practical guidance on creating, implementing, and integrating policies and guidelines for the use of generative AI tools. In three 60-minute classes, students will:​

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OCTOBER 14, 21, & 28

4:00 - 5:00 ET
$240 FULL COURSE

  • Learn to establish clear editorial policies for AI oversight and accountability

  • Understand the essential components of a functional policy document

  • Explore best practices for disclosing AI-written or AI-assisted content

 

Instructor Amy Frushour Kelly also offers insights on ethical, copyright, and security issues associated with AI in publishing. 

 

With a thoughtfully designed AI content policy, forward-thinking editors can preserve integrity and reduce risk and still benefit from the power and efficiency of generative AI tools.

Lesson Plan and Notes
LESSON 1
Elements of AI Content Policy

  • Definition, purpose, & usage

  • Policy components

  • Real-life policy samples

LESSON 2
Governance, Transparency, & Disclosure

  • Governance

  • Transparency obligation

  • Identifying AI content

  • Disclosures & samples

LESSON 3
Integration and Discussion

  • Bridging policy & practice

  • Fostering an AI-aware culture

  • Future-proofing

  • Open discussion

COURSE NOTES

  • Three 60-minute lessons. Students can attend live or view recordings.

  • Sessions are recorded on speaker view and emailed to students afterward with slides and handout links.

  • Intermediate Level. A working knowledge of how to use at least one mainstream generative AI tool (e.g., ChatGPT-4 or Claude) is recommended in order to get the full benefit of the course.

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