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DfT 政策更新 – Alex Mindell.pdf

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1、Transport in the Age of AI7th May 2025OFFICIALAI-What is it and what it means for youThe Broader ContextReasons for adopting AI:Economic Growth,Job Creation&Productivity Increases.Implementation GuidanceVision and DirectionLong-term vision for digital public services,emphasising the need for a moder

2、n,interconnected digital government.Guidance on how to implement AI in government,including best practices and case studies.The productivity gap“machines that perform tasks normally requiring human intelligenceWhat is AI?creates new content(text,images,videos,audio)predicts or recommends outputsproc

3、esses sensory informationAI language tools(such as ChatGPT)to draft,summarise,analyse or translate textaTravel routing optimisation systems,predicting traffic based on previous travel patterns and live dataaFacial recognition technology to assess if a passport photo matches criteria Generative AIPre

4、dictive AIPerceptive AIBuilding blocks of AIData AlgorithmsComputing powerOFFICIALOFFICIALOvercoming the Barriers to AI Adoption in TransportData Discoverability and Quality 01Regulation and Governance 03Decision-Making and Accountability 05Cost toImplement 07Infrastructure for AI Integration 02Skil

5、ls and Workforce Readiness 04Public Trust and Social Acceptance06EnvironmentalImpacts08OFFICIALOFFICIALFive key opportunities to transform transport as we know it1Establishing clear governance and regulation3542Balancing innovation and data protection through collaborationEnhancing technical skills

6、and expertise Building public confidence in AI adoptionInvesting in infrastructure to support innovation and impactWhat we have achieved so far:GovernanceEstablished AI Project Oversight Group for assurance of AI applicationsRoll out of AI Commercial Guidance across wider DfTAlgo

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本文主要探讨了人工智能(AI)在交通领域的应用及其对未来的影响。文章强调了采用AI的几个原因,包括促进经济增长、创造就业和提高生产力。文章提出了实施AI的指导原则,包括为数字公共服务制定长远愿景,强调建立一个现代化、互联互通的数字政府的重要性。文中还讨论了AI的定义、构建块以及采用AI的障碍,如数据发现和质量问题、法规和治理、决策和问责制、实施成本、AI集成基础设施、技能和工作队伍准备、公众信任和社会接受度以及环境影响。最后,文章概述了AI带来的五个关键机遇,包括建立清晰的治理和法规、平衡创新和数据保护、提高技术技能和专业知识、建立公众对AI采用的信心以及投资基础设施以支持创新和影响。
"AI如何提升交通行业的生产力?" "如何在交通领域平衡创新与数据保护?" "AI在交通行业中的实际应用案例有哪些?"
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