Responsible and human centric AI-based insurance advisors

Pisoni, Galena; Díaz-Rodríguez, Natalia

doi:10.1016/j.ipm.2023.103273

Cited by 19 publications

(3 citation statements)

References 37 publications

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“…By scrutinizing the alterations in output arising from decomposed input values, the extent of input values' impact on predictions can be gauged. In the finance domain, Pisoni et al [16] discussed how insurance companies provide cus-Fig. 2: Framework of Risk Management, Knowledge Graph Inference, and Intention Attribution for Social Crisis Events tomers with suggestions and explanations on the recommended amount of insurance coverage.…”

Section: Intention Attribution and Explanation For Social Crisis Eventsmentioning

confidence: 99%

Short Review of Intention Mining in Social Crisis Management through Automatic Technologies

Wang,

Li,

Yao

et al. 2023

International Conferences on Software Engineering and Knowledge Engineering

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In the current social environment, social crisis events occur frequently with significant impacts. Group intention mining through automatic technologies for managing social crises has gained extensive attention. This paper presents an overview of research on group intention mining in social crisis events, covering three areas: knowledge graph inference, intention attribution, and risk management. Knowledge graph inference facilitates the detection of group intention in crisis events. It is supported by the construction of crisis knowledge graphs, which organize crisis elements and inter-element relations into structured semantic knowledge. The interpretable semantics in the crisis knowledge graphs enables attribution of intention. Group intention mining consists of intention detection and intention attribution, serving the risk management of social crisis events. To gain insights into the process of group intention mining in social crises, the Covid-19 event is selected as a case study. Finally, the paper proposes future research directions to solve the limitations of existing intention mining methods in social crises.

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Section: Intention Attribution and Explanation For Social Crisis Eventsmentioning

confidence: 99%

Short Review of Intention Mining in Social Crisis Management through Automatic Technologies

Wang,

Li,

Yao

et al. 2023

International Conferences on Software Engineering and Knowledge Engineering

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show abstract

“…They are the contact points between companies and their customers. To compensate for the low efficiency and productivity of call centers [ 12 ], the insurance industry has adopted AI advisor systems [ 13 ], work management systems (including employee monitoring systems), insurance analytics, blockchain technology, and chatbots [ 14 ]. Although customer representatives play critical roles for companies, those working in the insurance industry experience workplace challenges such as adopting fast-changing technologies, the threat of job replacement with AI chatbots, invasive work monitoring technology, and customer incivilities causing emotional exhaustion and low job performance [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

ESG activity recognition enhances organizational commitment and service-oriented organizational citizenship behavior among insurance call center staff

Choi,

Jeong,

Park

2024

Heliyon

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“…This can lead to the imperfection of data and business processes, which affect the efficiency and productivity of the company (Telukdarie et al, 2023). Some of the problems that can be identified are as follows: Complexity in managing change: Companies often experience difficulties in managing changes to their enterprise architecture due to the complexity of connected systems and applications (Pisoni & Díaz-Rodríguez, 2023). Changes to one system or application can impact other systems or applications, requiring careful planning and management of changes.…”

Section: Introductionmentioning

confidence: 99%

Future Trends for Direction in Enterprise Architecture: Systematic Literature Review

Batmetan,

Rawis,

Lengkong

et al. 2023

IJITE

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In the modern business era, enterprise architecture is becoming increasingly important for companies to achieve their business goals. However, designing and implementing an effective enterprise architecture can be challenging, especially due to the ever-increasing complexity of information systems, changing business needs, and pressure to continually improve efficiency and performance. This study aims to analyze the literature review to map future trends in enterprise architecture related to technological developments and business needs. The research method used This study was conducted by conducting a systematic literature search using leading academic databases such as Scopus, Web of Science, and IEEE Xplore. Inclusion and exclusion criteria have been established to ensure that the selected articles are relevant to the topics discussed. Articles that met the inclusion criteria were then analyzed and critically assessed to identify trends in enterprise architecture. The results of this study produce arguments for the importance of enterprise architecture in helping companies to operate efficiently and integrate different systems and applications. The results of this study indicate that the future trends and topics of enterprise architecture help organizations achieve strategic goals and enable companies to adapt quickly to changes in business and technology. This study concludes that future trends in enterprise architecture can help companies adopt future information technology trends in enterprise architecture. The findings in this study have significant practical implications for enterprise architecture practices. Enterprises should take these trends into account when designing and deploying their enterprise architecture, to ensure that they maximize the benefits of the latest technologies and meet changing business needs.

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Responsible and human centric AI-based insurance advisors

Cited by 19 publications

References 37 publications

Short Review of Intention Mining in Social Crisis Management through Automatic Technologies

Short Review of Intention Mining in Social Crisis Management through Automatic Technologies

ESG activity recognition enhances organizational commitment and service-oriented organizational citizenship behavior among insurance call center staff

Future Trends for Direction in Enterprise Architecture: Systematic Literature Review

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