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 by Maggie Engler

Introduction to Generative AI, Second Edition
  • MEAP began June 2025
  • Last updated June 2025
  • Publication in Early 2026 (estimated)
  • ISBN 9781633434882
  • 325 pages (estimated)
Included with a Manning Online subscription
  • printed in black & white

Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage.

Introduction to Generative AI
  • January 2024
  • ISBN 9781633437197
  • 336 pages
Included with a Manning Online subscription
  • printed in black & white
catalog / Data Science / Deep Learning / Generative 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.