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

《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》由会员分享，可在线阅读，更多相关《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（9页珍藏版）》请在三个皮匠报告上搜索。

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