Exploring solutions to the privacy paradox in the context of e-assessment: informed consent revisited

Muravyeva, Ekaterina; Janssen, José; Specht, Marcus; Custers, Bart

doi:10.1007/s10676-020-09531-5

Cited by 9 publications

(2 citation statements)

References 65 publications

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“…Consumers, while agreeing to share a lot of data about Pobrane z czasopisma Annales H -Oeconomia http://oeconomia.annales.umcs.pl Data: 09/01/2023 06:19:44 U M C S themselves, expect in return the protection of their privacy, i.e. protection against unauthorised use of personal data (Muravyeva et al, 2020). However, this does not mean that the outcome of artificial intelligence in banking is always in line with customers' expectations and supports their interests.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Demographic and Socio-Economic Factors as Barriers to Robo-Advisory Acceptance in Poland

Piotrowski

2022

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Theoretical background: One manifestation of the use of artificial intelligence technology in financial services is robo-advisory. Automated assistants are used in the area of communication with consumers and the sale of financial products. The development of robo-advisory services may contribute to increasing the availability of financial services and the cost efficiency of banks' operations. So far, however, robo-advisory has not been widely used in bank services, and the reasons for this can be seen in the lack of wide acceptance of robo-advisory by bank customers, among other things. Purpose of the article:The aim of this paper is to identify barriers to the acceptance of robo-advisory in the services of banks operating in Poland. Variables relating to the demographic and socio-economic characteristics of consumers were analysed. Knowledge in this area can provide banks with a practical guideline for activities aimed at increasing acceptance of artificial intelligence technology and wider use of robo-advisory in financial services. Research methods: The paper uses the results of a survey conducted in October 2020 regarding the application of artificial intelligence technology in the banking sector in Poland. The survey included a representative Pobrane z czasopisma Annales H -Oeconomia http://oeconomia.annales.umcs.pl Data: 09/01/2023 06:19:44 U M C S 110 DARIUSZ PIOTROWSKIsample of 911 Polish citizens aged 18-65. A multinomial logit model was employed to identify variables that represent significant barriers to robo-advisory acceptance in financial services. Main findings: The conducted research helped identify the barriers to acceptance of robo-advisory among consumers in Poland. A low propensity to use robo-advisory in bank services is characteristic of respondents from older age groups, as well as those who do not show a predilection for testing new technological solutions. Lack of experience in using investment advisory services and customer concerns about the misuse of personal data by banks are also significant barriers.

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Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Demographic and Socio-Economic Factors as Barriers to Robo-Advisory Acceptance in Poland

Piotrowski

2022

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“…Providing an energy company access to use smart meter data is often as simple as checking of a box online, thereby providing explicit consent to terms and conditions. However, consent is in many cases uninformed and implicit (Muravyeva et al, 2020). For example, when signing up and creating a new Facebook profile, its website states "By clicking Sign Up, you agree to our Terms, Data Policy and Cookie Policy" (Facebook, 2020).…”

Section: Privacy Concerns Come Into Playmentioning

confidence: 99%

AI and privacy concerns: a smart meter case study

Carmody

Shringarpure

Venter

2021

JICES

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Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

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Blockchain-Based Dynamic Consent for Healthcare and Research

Charles

2023

Future of Business and Finance

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Exploring solutions to the privacy paradox in the context of e-assessment: informed consent revisited

Cited by 9 publications

References 65 publications

Demographic and Socio-Economic Factors as Barriers to Robo-Advisory Acceptance in Poland

Demographic and Socio-Economic Factors as Barriers to Robo-Advisory Acceptance in Poland

AI and privacy concerns: a smart meter case study

Blockchain-Based Dynamic Consent for Healthcare and Research

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