Description (short)

Reframes women’s leadership as relational governance for AI-mediated institutions, offering copy-ready tools for participatory oversight, municipal governance, and repair-ready accountability. It helps organizations replace extractive defaults with consent-first, benefit-sharing practices that surface harm and make repair enforceable.

Description (Long)

Across clinics, classrooms, city halls, and financial systems, women continue doing the uncredited work of governing AI: deciding when systems can be trusted, paused, refused, and repaired. Governing the Default names this work as relational governance, demonstrating how leaders can turn critique of AI’s extractive norms into operational practice. Bringing together industry and academic contributors, the volume reframes organizational care as governance designed into decision rights, feedback loops, oversight, and repair. Its copy-ready practices help leaders, educators, and policymakers replace opaque defaults with consent-first, benefit-sharing, repair-ready systems.

Endorsements

“This book is an important and timely contribution to the AI governance debate, adding an essential feminist and relational lens. It moves beyond theoretical discussion to offer practical tools that can be adopted now in this rapidly developing field.”

—Caroline Green, Director of Engagement, Institute of AI Ethics, University of Oxford

“Too often AI tools are handed to clinicians with great attention to accuracy and almost none to how decisions get made at the bedside. … It is timely, and genuinely usable.”

—Max Topaz, PhD, RN, FAAN, Associate Professor, Columbia University & VNS Health

“This book demonstrates both why that is the case and how we might collectively construct responsible governance systems by reconceptualizing what consent and resistance mean—and how we might lead that movement.”

—Keith Grint, Emeritus Professor, Warwick Business School

“Gender, Power, and Emerging Technology shows how data and AI systems reproduce power when care, consent, accountability, refusal, and repair are subordinated to scale, efficiency, and market-led innovation.”

—Anita Gurumurthy, Executive Director and Senior Fellow, IT for Change

INTERVIEW TOPICS

• Why gender is a governance issue (and why it’s so controversial)

• Why care, consent, refusal, and repair belong in AI governance

• What institutions miss when they treat AI governance as policy

• How leaders can move from hype to judgment

• What relational governance looks like in practice

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