推进负责任的人工智能创新：一本剧本（英）

Advancing Responsible AI Innovation: A PlaybookI N S I G H T R E P O R TS E P T E M B E R 2 0 2 5In collaboration with AccentureImages: Getty Images, Adobe StockDisclaimer This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders.© 2025 World Economic Forum. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, including photocopying and recording, or by any information storage and retrieval system.ContentsForeword 3Executive summary 4Introduction 5Dimension 1: Strategy and value creation 8Play 1: Lead with a long-term, responsible AI strategy 9 and vision for value creationPlay 2: Unlock AI innovation with trustworthy data governance 12Play 3: Design resilient responsible AI processes 15 for business continuityDimension 2: Governance and accountability 18Play 4: Appoint and incentivize AI governance leaders 19Play 5: Adopt a systematic, systemic and context-specific 21 approach to risk managementPlay 6: Provide transparency into responsible AI practices 24 and incident responseDimension 3: Development and use 27Play 7: Drive AI innovations with responsible design as the default 28Play 8: Scale responsible AI with technology enablement 31Play 9: Increase responsible AI literacy 33 and workforce transition opportunitiesConclusion 36Contributors 37Endnotes 43Advancing Responsible AI Innovation: A Playbook2ForewordNearly three years into the world’s “generative artificial intelligence (AI) moment”, AI technologies are rapidly being woven into the fabric of our daily lives, societies and economies. Advancing AI for innovation, human rights and societal benefit demands intentional design, ongoing oversight and active public-private collaboration across stakeholders. Industry plays a frontline role in AI governance through a series of principles and practices referred to as “responsible AI”. However, the maturity in implementing these practices lags behind awareness of its importance, resulting in a responsible AI implementation gap. Business leaders face several roadblocks in addressing this gap that can arise from within their organizations, such as evaluating AI use and risk at scale, as well as those that emerge from navigating the broader jurisdictional environment, such as fragmented regulatory approaches. If unaddressed, this lapse in AI governance is likely to erode confident AI investment, compliance and public trust.Over the past two years, the Resilient Governance and Regulation working group of the World Economic Forum’s AI Governance Alliance, with support from Accenture as its knowledge partner, has mapped key c