Duration

• 1 Day – 6–7 hours
• 2 Days: Deeper practice + newsroom workflows + governance & publishing standards

 

Overview

 

This AI Foundations training is designed for non-technical media and communications professionals—particularly news writers, journalists, and information officers—to build essential AI awareness and practical workplace skills.

 

Participants will learn the core concepts of AI and Generative AI, how these tools work in simple terms, and the strengths and limitations of AI when used for writing, research support, summarization, and content preparation.

 

The course strongly emphasizes ethical and responsible use, including bias awareness, misinformation risks, responsible sourcing, verification strategies, and data privacy/confidentiality. Through hands-on exercises, participants will practice using AI tools to improve productivity while maintaining credibility, accuracy, editorial integrity, and public trust.

 

Objectives

 

• Explain AI and Generative AI in simple, practical terms
• Identify where AI is useful in journalism and communications work—and where it is risky
• Use AI tools to support writing, summarizing, outlining, and idea generation responsibly
• Apply verification techniques to reduce hallucinations, errors, and misinformation
• Recognize risks related to bias, fairness, plagiarism, and reputational harm
• Follow data privacy and confidentiality rules when using AI tools
• Create effective prompts for newsroom and information office tasks
• Build an individual and team action plan for safe AI adoption in content workflows

 

Target Audience

 

• News Writers / Editorial Staff
• Journalists / Reporters / Field Researchers
• Public Information Officers (PIOs)
• Corporate Communications Officers
• Content Writers / Social Media Content Teams
• Media Relations / PR Teams
• Research Assistants / Editorial Assistants

 

Prerequisites

 

• No technical or coding skills required
• Basic computer literacy (email, documents, web browsing)
• Familiarity with content writing, news writing, and communication workflows
• Willingness to adopt responsible AI practices (verification and ethical usage)

 

Course Outline (1 Day)

Module 1:  AI Basics for Media Professionals

• What is AI? What is NOT AI?
• Key terms: AI, Machine Learning, Generative AI, LLMs
• Real-world AI in publishing and communications
• What AI does well vs where it fails
  Activity: Identify AI opportunities in your daily work

 

Module 2:  Generative AI Capabilities & Limitations

• How GenAI creates text (simple explanation)
• Hallucinations: why AI can sound correct but be wrong
• AI limitations: outdated info, missing context, false details
• “AI as assistant, not authority” mindset
  Demo: Draft → Improve → Final (with editorial control)

 

 

Module 3:  Responsible AI in Journalism & Public Information

• Responsible AI principles in media
• Bias and fairness: representation issues in content outputs
• Plagiarism risk and originality checks
• Misleading content, fabricated quotes, and false attribution
• When to disclose AI use (best practice guidelines)
  Workshop: Spot the ethical risks in sample AI outputs

 

Module 4:  Data Privacy, Confidentiality & Source Protection

• What not to input into AI tools (PII, classified, internal data)
• Handling confidential sources and sensitive cases
• Safe anonymization and redaction techniques
• Internal policies and approval workflows (recommended)
  Activity: Convert sensitive content into “safe prompt format”

 

Module 5:  AI for Writing Productivity (Newsroom Use Cases)

Use AI to support:

• Headline alternatives (non-clickbait, clear & accurate)
• Story structure: leads, angles, outlines
• Drafting paragraphs from verified notes (not inventing facts)
• Rewriting for tone: formal, public-friendly, crisis messaging

• Translating or simplifying language (with caution)

Hands-on: Write a short piece using AI support + final human editing

 

Module 6:  AI for Research & Summarization (Safely)

• Summarizing long reports and press releases
• Extracting key points, timelines, and action items
• Drafting interview questions and discussion guides
• Building FAQs and public advisory formats
  Hands-on: Convert a long report into a 10-bullet summary + FAQ

 

Module 7:  Verification Workflow: Fact-Checking AI Outputs

• “Trust but verify” checklist
• Simple validation steps:
  • Ask AI to show assumptions
  • Cross-check with primary sources
  • Verify names, dates, claims, statistics

• Avoiding fabricated citations and fake sources
  Workshop: AI-generated draft → verify → corrected newsroom-ready version

 

Module 8:  Prompting Skills for Media & Communications Teams

• Prompt structure: Role + Task + Context + Output format + Guardrails
• Prompts for:
  • news recap
  • stakeholder announcements
  • public advisories
  • internal communications
  • social media captions
    Activity: Create your own newsroom prompt library (Top 15 prompts)

 

Module 9:  Implementation & Action Planning

• Where AI fits in your workflow (drafting, editing, summarizing)
• What must remain human-controlled (final review, publishing decisions)
• Team rules for responsible usage
• Personal action plan: “How I will use AI this week responsibly”
  Output: AI workflow checklist + approved use-case list