Report better. Don't get replaced.
The AI Newsroom is a rigorous, ethics-first course that teaches working journalists exactly which AI tools to use, when to use them, and how to keep your integrity — and your byline — intact.
"My job isn't to make you love AI — it's to make sure you're never blindsided by it."— Your Knowledge Team
What you'll learn
What you'll be able to do
- Identify and confidently use the AI tools best suited to each stage of the journalism workflow — from pitch to publication.
- Conduct faster, deeper research using AI-assisted source discovery, document analysis, and data summarization.
- Fact-check and audit AI-generated content using verified methods so no fabrication or hallucination slips into print.
- Apply a clear personal ethics framework for AI use that meets SPJ standards and your outlet's editorial policies.
- Protect source confidentiality and sensitive data when working with AI platforms and cloud-based tools.
- Disclose AI involvement in your work transparently, building — rather than eroding — reader trust.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 24 lessons
AI in the Newsroom: Foundations & Landscape
Orients journalists to how AI works, what tools exist across the workflow, and why an ethics-first mindset must come first.
- 1.1How AI Actually Works (The Non-Technical Briefing)Included
- 1.2Mapping the Journalism Workflow to AI ToolsIncluded
- 1.3Opportunities, Hype, and Real RisksIncluded
- 1.4Building Your Personal AI Adoption PlanIncluded
AI-Powered Research & Source Discovery
Builds practical skills for using AI to find sources, surface documents, and synthesize information faster without losing verification discipline.
- 2.1Faster Source Discovery with AI Search ToolsIncluded
- 2.2Document Analysis and Large-File SummarizationIncluded
- 2.3Data Summarization and Pattern RecognitionIncluded
- 2.4Knowing When to Trust AI Research OutputsIncluded
Fact-Checking, Verification & Fighting Hallucinations
Equips journalists to rigorously audit AI-generated content and detect fabrications, deepfakes, and synthetic media before publication.
- 3.1Understanding Hallucinations: Why AI Confidently LiesIncluded
- 3.2A Step-by-Step AI Output Verification ProtocolIncluded
- 3.3Detecting Synthetic Media: Deepfakes, Audio, and ImagesIncluded
- 3.4AI as a Fact-Checking Co-PilotIncluded
Writing Smarter: AI as Editorial Assistant
Teaches journalists to use AI to accelerate drafting, editing, and production tasks while keeping their voice and editorial judgment intact.
- 4.1Prompting for Journalism: Getting Useful OutputsIncluded
- 4.2AI-Assisted Drafting Without Losing Your VoiceIncluded
- 4.3Editing, Headline Testing, and SEO OptimizationIncluded
- 4.4Broadcast and Multimedia Production WorkflowsIncluded
Ethics, Privacy & Source Protection
Provides a rigorous ethics framework covering SPJ standards, data privacy, source confidentiality, and the legal risks of AI-assisted reporting.
- 5.1SPJ Standards and Emerging AI Ethics GuidelinesIncluded
- 5.2Building Your Personal AI Ethics FrameworkIncluded
- 5.3Protecting Source Confidentiality on AI PlatformsIncluded
- 5.4Copyright, Intellectual Property, and AI-Generated ContentIncluded
Transparency, Disclosure & Reader Trust
Closes the course by translating ethics into public-facing practice — teaching journalists how to disclose AI use in ways that build, not erode, credibility.
- 6.1Why and How to Disclose AI in Your ReportingIncluded
- 6.2Writing an Outlet-Level AI Disclosure PolicyIncluded
- 6.3Communicating AI Use to Audiences Without Eroding TrustIncluded
- 6.4Your 90-Day AI Integration RoadmapIncluded
Who it's for
Is this you?
Beat reporters on deadline
You need to cut research time and find sources faster without cutting corners on accuracy — this course shows you exactly how.
Investigative journalists
You're handling large document sets, sensitive sources, and high-stakes verification — and you need to know precisely where AI helps and where it bites.
Digital editors
You're responsible for volume, SEO, and quality all at once — the AI editorial assistant module and headline-testing lessons were built for your desk.
Broadcast producers
From synthetic media detection to multimedia workflow integration, this course covers the AI landscape across audio, video, and digital formats.
Journalism managers & news directors
You need to set outlet-wide AI policy with confidence — the ethics, disclosure, and 90-day roadmap modules give you a framework you can actually implement.
Freelance journalists
Working without an editorial safety net, you need tools that keep you fast, independent, and bulletproof on verification — this course arms you for all three.
Questions
Frequently asked
Your teacher
A note from your teacher
Your Knowledge Team
You're already doing the job under conditions that would have been unrecognizable five years ago — tighter deadlines, leaner teams, more content, more platforms, and now an entire category of AI tools that your editor, your publisher, and your readers all have opinions about. Some colleagues are using AI in ways that make you uncomfortable. Others are avoiding it entirely and quietly falling behind. Most are somewhere in the middle: curious, skeptical, and not sure who to trust for a straight answer.
That's exactly why I built this course. Not to sell you on AI. Not to tell you the robots are coming for your job. But to give you the same thing you'd want from any good source: the facts, the context, the caveats, and a clear path forward.
Everything in The AI Newsroom came out of a simple question: what do working journalists actually need to know? The answer isn't a tour of every AI tool on the market. It's a structured, skeptical, workflow-by-workflow look at where AI genuinely helps — faster source discovery, large-document analysis, headline testing, pattern recognition in data — and where it fails badly enough that you need to know the failure modes cold before you trust a single output. The hallucination problem is real. The deepfake problem is real. The source confidentiality risk on cloud-based platforms is real. We cover all of it, in full, without hand-waving.
I'm also not interested in leaving the ethics conversation to a two-paragraph disclaimer at the end of a lesson. The SPJ standards, the emerging AI ethics guidelines, the disclosure questions, the IP and copyright landmines — these get full, dedicated treatment because they're not afterthoughts. They're the difference between AI making you a better journalist and AI becoming the thing that ends your career.
By the time you finish this course, you'll have more than knowledge. You'll have a personal AI adoption plan, a step-by-step verification protocol for every AI-assisted story, a defensible ethics framework, and a 90-day roadmap for integrating these tools in a way you can stand behind — in your editor's office and in your own byline. That's the work. Let's do it.
— Your Knowledge Team
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- 6 modules, 24 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed