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Duration 14 hours
Course Outline
Introduction to AI within Journalism
- The role of AI in modern digital newsrooms
- An overview of generative AI and large language models
- Global trends and practical use cases
AI Tools for Journalistic Writing
- Generating headlines and adapting tone
- AI-supported article drafting and summarization
- Prompt engineering techniques specifically for news content
AI in Research, Fact-Checking, and Editorial Quality
- Leveraging AI to validate facts and identify misinformation
- Detecting bias and calibrating tone
- Ensuring style consistency and suggesting content improvements
Automation in Newsroom Workflows
- Automating transcription, subtitling, and translation tasks
- Tagging, enriching metadata, and clustering content
- AI-driven news personalization and recommendation engines
Ethical Considerations and Editorial Oversight
- Maintaining transparency, defining authorship, and implementing human-in-the-loop practices
- Establishing editorial policies for AI-generated material
- Navigating regulatory frameworks and ensuring newsroom accountability
Hands-on Lab: Practicing AI Content Generation
- Drafting and refining sample articles with ChatGPT
- Testing bias detection and editing utilities
- Evaluating the quality of human-written versus AI-assisted content
Planning AI Integration in Journalistic Workflows
- Designing hybrid pipelines that combine human and AI capabilities
- Managing editorial review processes and compliance requirements
- Strategies for selecting tools, subscriptions, and implementation
Summary and Future Directions
Requirements
- Foundational knowledge of journalistic writing conventions and editorial processes
- Experience with standard digital publishing environments
- A general curiosity regarding AI-assisted technologies and their ethical implications
Target Audience
- Working journalists and editorial staff
- Content strategists and newsroom leadership
- Specialists focused on media innovation