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 DfTAlgorithmic Impact Asses

7、sment embedded into the existing Data Protection Impact AssessmentAI included in management assurance processesTechnicalImage recognition for counter fraudCorrespondence draftingAutomated consultation analysisHR ChatbotDigital led CoPilot trial Bespoke AI buildsResearchTaking a behavioural science a

8、nd human factors approach to driving adoptionPublished Deliberative researchCollaboration with Alan Turing Institute and ONS to measure potential productivity gains which can be delivered by AIPublic Opinions on AI through the ONS Public Opinions and Social Trends SurveyParticipation in the ONS publ

9、ic sector time use survey to identify opportunities for deployment of AI Events and PartnershipsStrategic partnership with Alan Turing Institute and GoogleAI Focused Data Science in transport conferenceAI Hack Event in partnership with Google and PA consultingJoint Data Science Working Group with Df

10、T DVLA and DVSA to foster collaborationTrainingLearning needs analysis to support design of specialist trainingWorking with specialist consultants to develop and trial learning packagesFoundation course launchedImplementors half-day training workshopSenior Leaders workshops to be launched summer 2025OFFICIALOFFICIAL