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新加坡人寿 精算师的 AI 治理.pdf

上传人: a****d 编号:402744 2025-01-10 13页 1.62MB

1、InternalAI Governance for ActuariesSamuel ChuAug 2024InternalAgenda1.Landscape of regulations2.FEAT principles and how to apply them3.Case study:Predictive Underwriting4.Challenges&Considerations:2InternalState of AI Regulations in Singapore3MOH:AI in Healthcare GuidelinesIMDA:Model AI Governance Fr

2、ameworkMAS:FEAT GuidelinesIntellectual Property Office of SingaporeFair Employment PracticesConsumer Protection/Online SafetyPersonal Data ProtectionHarmsMisuses data or personal informationProduces an incorrect outputProvides unfair or unreasonably harsh treatmentProvide misleading advice or infoDi

3、scrimination based on protected attributeCauses physical,economic or psychological harmGuidelinesLegislationInternalDefinition of AI4OECD Definition of AI SystemAn AI system is a machine-based system that,for explicit or implicit objectives,infers,from the input it receives,how to generate outputs s

4、uch as predictions,content,recommendations,or decisions that can influence physical or virtual environments.Different AI systems vary in their levels of autonomy and adaptiveness after deployment.MAS Definition:“AIDA”refers to artificial intelligence or data analytics,which are defined as technologi

5、es that assist or replace human decision-making.Firms can calibrate actions and requirements under their internal governance framework based on the materiality of the AIDA-driven decisions.Extent to which AIDA is used in decision-makingComplexity of AIDA modelExtent of automation of process AIDA-dri

6、ven decision-makingSeverity and probability of impact on different stakeholders,including individualsMonetary and financial impactRegulatory impactOptions for recourse availableInternalFEAT PrinciplesFairnessJustifiability1.Individuals or groups of individuals are not systematically disadvantaged2.U

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本文主要讨论了AI在保险行业中的治理问题,特别是FEAT原则的应用和预测性承保案例研究。FEAT原则包括公平性、可解释性、伦理和问责制。文章概述了新加坡的AI法规景观,包括MOH、IMDA和MAS等机构制定的指导原则和框架。在预测性承保案例研究中,作者探讨了如何使用AI进行承保决策,并提出了相关的挑战和考虑因素。文章还讨论了如何评估和确保AI系统的公平性,以及如何解释和问责AI决策。此外,文章还提到了一些关键的治理结构,如AI系统和技术所有者、一线、二线和三线控制、批准权威等。最后,文章强调了适应全球政策、风险控制、文化培训等方面的重要性。
"AI在保险业的合规挑战有哪些?" "如何确保人工智能决策的公平性和透明度?" "人工智能在医疗保健领域的应用与监管现状如何?"
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