The AI-Augmented Newsroom

About the book

Artificial intelligence is changing how news is reported, verified, produced and distributed. This practical and technical guide shows journalists, editors, data reporters and newsroom developers how to use AI well — and where it fails. It explains how large language models, speech recognition and embeddings actually work; how to use them for research, interviews, transcription, translation, data journalism and large document investigations; how to verify images, video and audio in an age of synthetic media; how to draft and edit with AI without inventing facts; and how to build newsroom tools with APIs, retrieval-augmented generation and agents, including evaluation, cost control and prompt-injection security. Final chapters cover ethics policies, disclosure, copyright litigation and licensing, the EU AI Act, source protection, and a 90-day adoption plan. Includes runnable Python examples, a prompt library, a glossary, checklists, chapter references and a full bibliography. By Alberto

What you will learn

• How LLMs, embeddings and speech recognition work — and why they hallucinate
• Research, interview and transcription workflows that protect your sources
• Data journalism and document investigations with Python, NER and semantic search
• Verification and OSINT methods for synthetic images, video and audio
• Building newsroom tools: APIs, RAG pipelines, evaluation and prompt-injection defense
• Ethics, disclosure, copyright, the EU AI Act and a 90-day adoption plan

About the author

Alberto Zaltzberg is a real estate broker in Florida and the author of hundreds of guides on real estate, investing, business and Jewish tradition. He writes practical, straightforward books to help readers make better decisions.

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