Browse All Books

Dan Hendrycks on AI Safety, Ethics, and Society's critical challenges

Choudary reframes AI not as automation but as coordination mechanism reshaping entire economic systems and power structures

Yudkowsky and Soares warn that building artificial superintelligence with current techniques would result in human extinction

Murgia exposes how AI systems encode discrimination and bias into our daily lives.

Ray Kurzweil's vision of human-AI merger and the technological singularity's imminent arrival

Paul Iusztin's hands-on framework for building production-ready LLM systems, featuring the innovative LLM Twin concept for AI personalization.

Chip Huyen's practical guide to building production AI systems beyond research prototypes.

Woods' practical framework for using AI as a strategic thought partner, not just automation tool. CRIT method transforms executive decision-making.

Ethan Mollick's guide to working effectively with AI systems like ChatGPT and Claude.

MIT researcher Joy Buolamwini exposes the 'coded gaze' - how AI systems discriminate against women and people of color.

Caulfield's practical guide to combating misinformation with the SIFT methodology—fact-checking any online claim in 30 seconds.

Acemoglu challenges AI utopia narratives with historical analysis of technology and inequality.

Stanford AI professor Fei-Fei Li's memoir from China to creating ImageNet, the dataset that launched modern deep learning and computer vision

Master transformer architectures and large language models with Lewis Tunstall's practical guide.

Chip Huyen's practical guide to building machine learning systems that work in production.

Kai-Fu Lee envisions 10 AI scenarios that will reshape society by 2041

Cade Metz chronicles the brilliant minds who built modern AI, from Geoffrey Hinton to DeepMind's breakthroughs.

Jeff Hawkins' theory of how the brain's cortical columns could revolutionize AI and consciousness.

Zerilli demystifies AI's societal impact, from healthcare algorithms to criminal justice - essential reading for navigating our algorithmic age.

Oxford AI researcher Michael Wooldridge chronicles artificial intelligence from Turing to today's machine learning breakthroughs