Better Regulations, Better AI Results The Overlooked Policy Framework Governments and Policymakers Need to Regulate an AI-Driven World
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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
10.04.2026
Verlag
The Publishing PadSeitenzahl
188
Maße (L/B/H)
22,9/15,2/1 cm
Gewicht
282 g
Sprache
Englisch
ISBN
978-1-963732-33-7
"Clear-eyed, flexible guide to establishing effective regulation for AI." (BookLife Reviews) "A timely and actionable framework for designing smarter AI regulation in a rapidly evolving world." (Bruce Huang, Ph.D., Ed.D., Director, Master's Degree Program in Data Science and AI, Harvard Extension School) Every major decision about the future now involves artificial intelligence. Leaders face pressure to regulate AI quickly, and equally strong warnings not to stifle innovation. The real question is not whether to regulate AI. It is how to regulate it well. Better Regulations, Better AI Results is a plain-language guide for the people who must answer that question: government regulators and policymakers, legislative staff, international development and multilateral organizations, AI industry leaders, business associations, and the students who will lead next. Drawing on more than a decade advising governments around the world on regulatory reform, Alfredo González Briseño shows that the quality of AI rules depends less on any single law than on the process and institutions behind it: regulatory policy, the overlooked policy that holds the key. The book does not push an ideology or a model law. It gives you a neutral, practical framework to plan, design, implement, and keep improving AI regulation in your own country or organization. Inside, you will learn:Why AI governance is more than a "pacing problem," and why every regulation should start from a clear public policy objective How to regulate AI well: planning ahead, defining the problem before choosing regulation, procedural fairness and public consultation, publishing what you enact, simplifying, and reviewing rules over time Regulation that enables AI's growth: digital infrastructure, regulatory sandboxes, removing unnecessary hurdles, and a better business environment for AI firms Regulation that protects people: data privacy and consent, intellectual property, deepfakes and fraud, black-box decisions, algorithmic bias, environmental impact, and the future of work How governments can use AI itself to make regulation more accessible, cut red tape, and enforce rules more effectively Which institutions should lead, how to coordinate across agencies, and how to stop the "killers" that derail reform How to use the BRAIn Canvas, a practical diagnostic tool to map gaps, set priorities, and plan reforms Why "regulatory humility" and leadership mindset matter as much as the rules themselves Written in clear, jargon-free language for non-specialists, this is neither a technical manual nor an abstract ethics debate. It is a practical roadmap for anyone shaping how AI is governed. Better rules lead to better AI results, for people, for innovation, and for the world ahead.
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