避免 AI 治理雷区.pdf

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1、Avoiding the AI Governance MinefieldsSayantan ChakladerHead of Data&AI Governance,Sony EuropeWelcome and introductionWouter MertensSr Director,Product Management at CollibraOpportunityRiskLaws/regulationsCustomers/clientsInternalEmployee productivityCustomer experience Scale&velocityWhere are you no

2、w?Not speaking the same languageManual workflowsRoles not clearly definedDont always trust our dataLimited visibilityGovernance is importantCreates a shared languageBrings people together to collaborateMakes data useableReduces data risksDecision rights&accountability frameworkData GovernanceThree a

3、pproaches to AI GovernanceThe data-centric approach is essential for ensuring effective AI use-case development and risk mitigationHelp data,AI,risk&legal teamsdeliver trusted AI by providing easy access to reliable data and implementing appropriate controls across the AI use-case lifecycle.Data-cen

4、tricCollaboration between AI,data and legal teamsGoal:AI use cases safely in productionHow:Easy use of reliable data,effective collaboration between stakeholdersHelp legal and privacy teams to ensure compliance with laws®ulations by fully documenting and auditing the use of AI.Compliance-centricL

5、ead by legal teamsGoal:compliance&risk managementHow:documentation&attestationHelp AI and data teams to implement AI use-cases effectively by preparing,developing,running and monitoring AI modelsModel ops-centricCollaboration between AI and data teamsGoal:Implement&operate AI use-casesHow:Platform t

6、hat supports the development and running of AI modelsHow do you start?AI use casesProcessPeopleTechnologyChanging hearts and mindsetPrioritize governance mindsetFoster data literacy with training on AI and risksHire the right talentAI Governance is a team sport!AI Governance CouncilCDAOCISOLegalPriv