Artificial Intelligence in the Production of Journalistic Content

• Basic understanding of journalistic writing and editorial workflows
• Familiarity with common digital publishing platforms
• General interest in AI-assisted tools and their ethical use

Audience

• Journalists and editors
• Content strategists and newsroom managers
• Media innovation specialists

Artificial Intelligence (AI) is transforming how journalistic content is researched, written, and delivered to audiences.

This instructor-led, live training (online or onsite) is aimed at intermediate-level media professionals who wish to use AI tools to generate content, verify facts, automate editing tasks, and optimize workflows in digital journalism.

By the end of this training, participants will be able to:

• Leverage AI tools for drafting news articles, headlines, and summaries.
• Use AI to fact-check, detect bias, and suggest improvements in tone and clarity.
• Automate repetitive newsroom tasks like transcription and tagging.
• Apply ethical and editorial standards in AI-assisted content production.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI in Journalism

• AI and the digital newsroom
• Overview of generative AI and large language models
• Use cases and global trends

AI Tools for Journalistic Writing

• Headline generation and tone adaptation
• AI-assisted article drafting and summarization
• Prompt engineering techniques for news content

AI in Research, Fact-Checking, and Editorial Quality

• Using AI to validate facts and detect misinformation
• Bias detection and tone calibration
• Suggesting improvements and ensuring style consistency

Automation in Newsroom Workflows

• Transcription, subtitling, and translation automation
• Tagging, metadata enrichment, and content clustering
• AI-powered news personalization and recommendation systems

Ethical Considerations and Editorial Oversight

• Transparency, authorship, and human-in-the-loop practices
• Editorial policies for AI-generated content
• Regulatory frameworks and newsroom accountability

Hands-on Lab: AI Content Generation Practice

• Writing and refining sample articles using ChatGPT
• Experimenting with bias detection and editing tools
• Comparing human-written vs AI-assisted content quality

Planning AI Integration in Journalistic Workflows

• Designing hybrid human-AI content pipelines
• Managing editorial review and compliance
• Tools, subscriptions, and implementation strategies

Summary and Next Steps