Transparency in persuasive technology, immersive technology, and online marketing: Facilitating users’ informed decision making and practical implications

Wang, Ruijie; Bush-Evans, Reece; Arden‐Close, Emily; Bolat, Elvira; McAlaney, John; Hodge, Sarah E.; Thomas, Sarah; Phalp, Keith

doi:10.1016/j.chb.2022.107545

Cited by 34 publications

(18 citation statements)

References 117 publications

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“…Empirical studies included in the review typically focused on a single theme, for example, Percy et al (2016), Sarkar et al (2016), andFinkenwirth et al (2020) exclusively addressed Explainability. Studies that addressed several themes were discussion-based or position papers that typically included some literature review; including systematic (e.g., Wang et al, 2021) and narrative forms (e.g., Seif El-Nasr & Kleinman, 2020; Strümke et al, 2023). The appropriate use of player data and maintaining protection of human rights.…”

Section: Synthesis Of Resultsmentioning

confidence: 99%

“…In relation to algorithmic detection of gamblers who may be at-risk of harm, several records emphasized that black-box models are undesirable (Finkenwirth et al, 2020;Huang, 2020;Percy et al, 2016;Sarkar et al, 2016;Wang et al, 2021). In this case, stakeholders across the industry need to be able to understand why a particular individual may be flagged as "at-risk".…”

Section: Accountability 7 Transparency Accountability Responsibilitymentioning

confidence: 99%

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Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review

Ghaharian,

Binesh

2024

Preprint

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The proliferation of data and artificial intelligence (AI) throughout society has raised concerns about its potential misuse and threats across industries. In this paper we explore the risks and ethical considerations of AI applications in gambling, an industry that makes significant contributions to many tourism destinations and local economies around the world. We conducted a scoping review to collect the breadth of literature and to understand the current state of knowledge. Our search yielded 2,499 potentially relevant documents, from which we deemed 16 as eligible for inclusion. A content analysis revealed convergence around six main themes: (1) Explainability, (2) Exploitation, (3) Algorithmic Flaws, (4) Consumer Rights, (5) Accountability, and (6) Human-in-the-Loop. We found that these gambling-specific themes largely overlap with broader AI principles. Most records focused on algorithmic strategies to reduce gambling-related harm (n = 12/16), thus we call for more attention to be turned to commercially driven AI applications. We provide a theoretical evaluation that illustrates the challenges involved for stakeholders tasked with governing AI risks and associated ethical considerations. As a globally reaching product, gambling regulators and operators need to be cognizant, not just of philosophical principles, but also of the rich tapestry of global ethical traditions.

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Section: Synthesis Of Resultsmentioning

confidence: 99%

Section: Accountability 7 Transparency Accountability Responsibilitymentioning

confidence: 99%

Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review

Ghaharian,

Binesh

2024

Preprint

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“…Between each iteration of trying to reach a consensus, the local electricity prices are updated depending on their primal residual, as defined in (11) and (12).…”

Section: Consensus Alternating Direction Methods Of Multipliersmentioning

confidence: 99%

“…This includes the expected lack of transparency and explainability of the algorithms, as well as concerns about data anonymisation. Transparency relates to both explainability and interpretability and refers to any decisions made by the algorithm or the users that can affect the market outcome [12]. It is critical for promoting user satisfaction, autonomy, and informed decision-making.…”

Section: Introductionmentioning

confidence: 99%

“…It is thus commonly assumed that market activity is conducted through a third party, such as an aggregator, energy service provider, or community manager, who is in compliance with data protection regulations such as the European General Data Protection Regulation (GDPR) [19]. However, despite the fact that numerous regulations and legal frameworks exist to protect privacy and transparency, they are not always effective in practise [12]. As a result, data protection should be built into the algorithmic and systematic design, and a thirdparty consumer agreement should include a mapping of how privacy is protected and what information is shared.…”

Section: Introductionmentioning

confidence: 99%

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Local electricity market pricing mechanisms' impact on welfare distribution, privacy and transparency

Dynge¹,

Berg²,

Bjarghov³

et al. 2023

Preprint

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<p>Local energy communities and electricity markets have emerged as possibilities for interaction among prosumers. A substantial effort has been invested into creating efficient pricing mechanisms for various market arrangements, all of which take into consideration distinct characteristics of local electricity trading. However, since they are all evaluated in terms of various systems and market conditions, it is challenging to directly compare the mechanisms. In this research, three well-established pricing mechanisms from the literature are systematically compared and evaluated under identical settings on their influence on welfare distribution across various market participant groups, privacy protection, transparency and complexity level. According to the findings, the supply-demand ratio pricing system leads to the lowest costs for consumers and is also the most privacy compliant and transparent. Furthermore, prosumers obtain the highest cost-savings through the consensus alternating direction method of multipliers pricing mechanism, whereas the equilibrium pricing mechanism performs best regarding economic fairness. The aim of this article is to provide insight into the performance of different pricing mechanisms to energy regulators and local electricity market facilitators. The comparative analysis should aid in making informed decisions on the implementation of local electricity markets. </p>

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Taking Ownership – Exploring the Need for a Blockchain Based Intellectual Property System for Fashion Designs

Rockett

2024

Fashion for the Common Good

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Transparency in persuasive technology, immersive technology, and online marketing: Facilitating users’ informed decision making and practical implications

Cited by 34 publications

References 117 publications

Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review

Identifying Risks and Ethical Considerations of AI in Gambling: A Scoping Review

Local electricity market pricing mechanisms' impact on welfare distribution, privacy and transparency

Taking Ownership – Exploring the Need for a Blockchain Based Intellectual Property System for Fashion Designs

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