Artificial Intelligence is rapidly transforming the landscape of journalism, enabling faster content production, real-time analysis, and enhanced accuracy in reporting. This course explores the evolving role of AI in automating news writing, verifying facts at scale, and supporting journalistic integrity in the digital era.

Through practical demonstrations and case studies, participants will gain hands-on experience with AI tools for news generation and fact-checking, understand ethical considerations, and learn how to integrate these technologies within newsroom workflows. The course equips media professionals with the skills to harness AI without compromising editorial standards or human judgment.

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

Understand how AI is reshaping journalism and newsroom operations.
Use AI-powered tools to generate data-driven news content.
Apply automated systems for real-time fact-checking and source verification.
Explore the limitations, risks, and ethical concerns of AI in media.
Develop strategies for integrating AI into journalistic processes while maintaining credibility and transparency.

This course is ideal for:

Journalists and Editors.
Newsroom Managers and Content Strategists.
Media Technology Professionals.
Investigative Reporters and Fact-Checkers.
Journalism Educators and Students.
Content Creators exploring AI integration.

The course uses a blended approach of expert-led sessions, tool walkthroughs, interactive exercises, and analysis of real-world media applications. Participants will engage in AI writing labs, explore fact-checking APIs, and collaborate on newsroom innovation case studies.

Day 5 of each course is reserved for a Q&A session, which may occur off-site. For 10-day courses, this also applies to day 10

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ID	التواريخ المتاحة	المدينة	الرسوم	الإجراءات

Course Content

Section 1: Introduction to AI in Journalism

Overview of AI applications in the media industry.
Evolution of automated journalism: From templates to GPT models.
Benefits and risks of AI adoption in newsrooms.
Case studies of AI integration in global media outlets.
Activity: Identify AI opportunities in your current workflow.

Section 2: Automated News Generation

Understanding Natural Language Generation (NLG) in journalism.
Using AI for sports, finance, and weather reporting.
Data-to-text tools for structured news production.
Writing with ChatGPT and other AI platforms.
Lab: Generate a news brief using AI tools.

Section 3: AI-Powered Fact-Checking

The rise of misinformation and the need for automation.
Introduction to fact-checking platforms (e.g. ClaimReview, Full Fact APIs).
Verifying quotes, claims, and sources using AI.
Integrating real-time fact-checkers into editorial workflows.
Workshop: Build a fact-checking protocol for your team.

Section 4: Ethics, Bias, and Editorial Oversight

Editorial integrity and human oversight in AI-generated content.
Understanding AI bias and transparency challenges.
Ensuring accountability in AI-assisted reporting.
Navigating copyright and content ownership issues.
Debate: Should AI bylines be disclosed to readers?

Section 5: Future Trends and Innovation in Media AI

Multilingual AI journalism for global audiences.
Voice synthesis and AI in podcasting and video journalism.
Collaborative storytelling with human-AI teams.
Emerging tools and platforms shaping the future of journalism.
Final project: Design a concept for an AI-enabled newsroom.

Certificate Details

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