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Coursera

Driving Trust and Innovation: Advanced Journalism Skills

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Overview

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This course is designed for journalists and communications professionals who already have a strong foundation in professional writing, familiarity with editorial standards and newsroom or communications workflows, and basic working knowledge of digital publishing tools and generative AI platforms. Experience in drafting or editing policy, regulatory, or institutional content will be an added advantage. The course will help you use generative AI without compromising trust, accuracy, or accountability. You will practice drafting policy content with GPT-4 using transparent, logged workflows, then verify AI-generated summaries against primary documents to identify hallucinations and meaning drift. Through short videos, readings, coach dialogues, hands-on activities, and assessments, you will build the skills needed to make AI-assisted work explainable, reviewable, and defensible, so editors, standards teams, and audiences can trust both the process and the final story.

Syllabus

  • Draft with GPT-4, Log for Compliance
    • You will focus on using generative AI to draft policy content without sacrificing editorial trust. Learners explore why undocumented AI use creates risk, then practice a structured prompting approach that treats prompts as editorial decisions rather than shortcuts. Through hands-on drafting, logging, and redaction, learners build a first-draft workflow that is transparent, compliant, and defensible—one they can clearly explain to editors, standards teams, or legal reviewers.
  • Verifying AI Output and Making Judgment Visible
    • In this lesson, you will explore the shift from drafting to verification and accountability. They examine the types of AI hallucinations editors actually flag, then apply a source-first verification method that compares AI-generated summaries against multiple primary documents. Learners practice flagging and correcting subtle meaning drift and use diffs to make their editorial judgment visible. By the end of the lesson, learners can defend verification decisions with evidence, not instinct, using workflows editors trust under scrutiny.

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