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赞助商:印孚瑟斯-数据和人工智能治理:通过“负责任的设计”框架引导创新.pdf

上传人: 张** 编号:167758 2024-06-15 9页 1.07MB

1、12024 Databricks Inc.All rights reserved12024 Databricks Inc.All rights reservedData&AI Governance:Guided innovation with“Responsible by Design”frameworkAnup BoseIndustry Principal,Leader Infosys Data&AI Governance Consulting PracticeInfosys Limited22024 Databricks Inc.All rights reserved22024 Datab

2、ricks Inc.All rights reservedAgenda:Data&AI GovernanceWhat is needed to overcome the challenges?The Initial steps towards Governing AI.Challenges&Implications01020322024 Databricks Inc.All rights reserved32024 Databricks Inc.All rights reserved32024 Databricks Inc.All rights reservedAI is on rise&it

3、s inevitableWhere does AI stand as of now?The 4IsImplication$1.8TProjected value of the global AI market by 2030Investment$200BAI investment forecast,globally by 2025 by Goldman SachsImplementation 56%Companies adopted AI in at least one function within the organizationIntention 96%Companies intend

4、to use technologies like AI Simulations100 years back,Electricity was driving force for investment cycles that was followed by productivity boom,AI will do same in coming years.32024 Databricks Inc.All rights reserved42024 Databricks Inc.All rights reservedWhile the development&usage of AI is surgin

5、g,there are some concernsAI is only as good as data behind itAI can wreak havoc,if left uncheckedAI Models have become black boxesImbibe TrustEnsure EthicsPreserve PrivacyFortify SecurityHonor ComplianceDataAI Model&SystemUsage&ConsumptionThe ConcernsHow to overcome these concerns&challenges?Data&AI

6、 GovernanceOrganizations would need to build robust governance of Data,AI Model&Consumption layers in AI ecosystem and ensure trust,ethics,privacy,security&compliance in the design,development&deployment of AI systemsExplainable AccurateReproducibleAccountableFair&ImpartialHumaneSafetyAwareness&Skil

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本文主要介绍了Infosys Limited的数据和人工智能治理咨询实践,强调了在人工智能兴起的时代,数据和人工智能治理的重要性。文章提出了“负责任的设计”框架,以指导创新并克服挑战。关键数据包括:到2030年,全球AI市场的预计价值为1.8万亿美元;到2025年,全球AI投资的预测额为2000亿美元;目前,56%的公司已经在至少一个功能领域内采用了AI;而96%的公司计划使用类似AI的技术。文章指出,AI的发展和应用带来了挑战,如AI的性能取决于数据质量,未经检查的AI可能会造成破坏,以及AI模型已成为“黑箱”等。为了解决这些挑战,文章提出组织需要构建在AI生态系统的数据、AI模型和消费层中强大的治理体系,确保在AI系统的设计、开发和部署中信任、伦理、隐私、安全和合规性。Infosys开发了一个全面和创新的人工智能治理框架,以管理和确保人工智能的负责任采用。最后,文章概述了人工智能治理的三个主要优先领域,并强调了其在所有行业和地区中的重要性。
"如何确保AI的道德与合规性?" "AI治理的初步步骤是什么?" "如何克服AI带来的挑战和影响?"
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