Maggie Engler

Maggie Engler is an engineer and researcher currently working on safety for LLMs. She focuses on applying data science and machine learning to abuses in the online ecosystem and is a domain expert in cybersecurity and trust and safety. Maggie has built machine learning systems for malware and fraud detection, content moderation, and risk assessment. She has advised startups and nonprofits on data infrastructure and privacy, as well as conducted technical due diligence for venture capital firms. She is also a committed educator and communicator, teaching as an adjunct instructor at the University of Texas at Austin School of Information. Maggie is deeply invested in technology policy, and she works with civil society groups to advocate for responsible AI and data governance. She holds bachelor’s and master’s degrees in electrical engineering from Stanford University.

books & videos by Maggie Engler

Introduction to Generative AI Video Edition
Included with a Manning Online subscription

Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats.

Introduction to Generative AI, Second Edition
  • December 2025
  • ISBN 9781633434882
  • 480 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Deep Learning / Generative AI
print book available Dec 29, 2025

Introduction to Generative AI, Second Edition is a completely revised and updated guide to the capabilities, risks, and limitations of generative AI. You’ll understand the latest innovations in AI, AI agents, multimodal training, reasoning models, retrieval-augmented generation (RAG), and more. Along the way, you’ll explore how AI is impacting the world, with an expert-level look at AI in industry, education, and society.

Introduction to Generative AI
  • January 2024
  • ISBN 9781633437197
  • 336 pages
Included with a Manning Online subscription
  • printed in black & white
  • available in Complex Chinese, Russian
catalog / Data Science / AI

Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats.