Feminist AI 1st Edition

Feminist AI 1st Edition by Jude Browne; Stephen Cave; Eleanor Drage; Kerry McInerney is a vital, thought-provoking exploration of how gender and power shape the design, deployment, and impact of artificial intelligence. Timely and accessible, this book reframes debates around AI ethics, machine learning bias, and responsible tech for readers in the UK, US, EU, Australia, and worldwide.

Begin with clear, compelling examples that reveal why conventional AI systems often replicate inequality. The authors combine rigorous analysis and real-world case studies to explain how gender, race, and social context influence algorithms, data collection, and product design. Readers gain a practical vocabulary for identifying bias in datasets, interrogating design choices, and advocating for inclusive innovation.

This edition equips activists, policymakers, designers, and students with actionable frameworks for more equitable AI. Learn how feminist theory intersects with technical practice to create transparent, accountable systems—whether you’re shaping corporate policy, teaching an ethics course, or building the next generation of AI Books. The book emphasizes concrete strategies: participatory design, intersectional auditing, and policy levers that reduce harm while fostering innovation.

Engagingly written and grounded in research, Feminist AI 1st Edition transforms complex ideas into usable tools. It’s the essential guide for anyone committed to making AI fairer, safer, and more just. Add this indispensable title to your collection today and join the global conversation about gender, technology, and the future of intelligent systems. Order your copy now.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.