Regulating transparency?

Wagner, Ben; Rozgonyi, Krisztina; Sekwenz, Marie-Therese; Cobbe, Jennifer; Singh, Jatinder

doi:10.1145/3351095.3372856

Cited by 49 publications

(5 citation statements)

References 21 publications

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“…Some regulations do require transparency and have resulted in fines for companies such as Meta, such as the German Network Enforcement Act (NetzDG), include transparency requirements about, for example, how unlawful content is dealt with. Companies differ in how they implement their compliance with this regulation [198] and are likely to differ in implementing any other kind of transparency requirement. Standardisation may, therefore, be required if there is any hope of achieving reliable transparency across different types of systems, and this should be done taking into account threat models and mechanisms to deal with these threat models, and still allow enough flexibility to adapt to, for example, case specific sanitisation needs.…”

Section: Discussionmentioning

confidence: 99%

Transparency Enhancing Technologies to Make Security Protocols Work for Humans

Hicks

Murdoch

2020

Security Protocols XXVII

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As computer systems are increasingly relied on to make decisions that will have significant consequences, it has also become important to provide not only standard security guarantees for the computer system but also ways of explaining the output of the system in case of possible errors and disputes. This translates to new security requirements in terms of human needs rather than technical properties. For some context, we look at prior disputes regarding banking security and the ongoing litigation concerning the Post Office's Horizon system, discussing the difficulty in achieving meaningful transparency and how to better evaluate available evidence.

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Section: Discussionmentioning

confidence: 99%

Transparency Enhancing Technologies to Make Security Protocols Work for Humans

Hicks

Murdoch

2020

Security Protocols XXVII

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“…Generally, there are two approaches, manualtrigger (i.e., initiated by users) and auto-trigger (i.e., initiated by the system) [57,235]. On the one hand, researchers have found that explanations should not always be presented to users, because they can introduce unnecessary cognitive load and become overwhelming for non-expert end-users [41,51,183,205,215]. This is especially important in AR, as users' cognitive capacity tends to be limited [40].…”

Section: When To Explain?mentioning

confidence: 99%

XAIR: A Framework of Explainable AI in Augmented Reality

Yu²,

Jonker

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Explainable AI (XAI) has established itself as an important component of AI-driven interactive systems. With Augmented Reality (AR) becoming more integrated in daily lives, the role of XAI also becomes essential in AR because end-users will frequently interact with intelligent services. However, it is unclear how to design effective XAI experiences for AR. We propose XAIR, a design framework that addresses when, what, and how to provide explanations of AI output in AR. The framework was based on a multi-disciplinary literature review of XAI and HCI research, a large-scale survey probing 500+ end-users' preferences for AR-based explanations, and three workshops with 12 experts collecting their insights about XAI design in AR. XAIR's utility and effectiveness was verified via a study with 10 designers and another study with 12 end-users. XAIR can provide guidelines for designers, inspiring them to identify new design opportunities and achieve effective XAI designs in AR.

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“…Others invest public regulators with powers to require platforms to remove content-like the new Australian Online Safety Act. Some approaches include requirements for transparency reporting (Wagner et al 2020). Other approaches focus on encouraging or facilitating industry self-regulation (Bridy 2019), like the 'Christchurch Call', developed in the aftermath of the live-streamed massacre in 2019 (Hoverd et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Digital Platform Regulation

Hayashi,

Arai

2024

Digitalization and Competition Policy in Japan

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Regulating transparency?

Cited by 49 publications

References 21 publications

Transparency Enhancing Technologies to Make Security Protocols Work for Humans

Transparency Enhancing Technologies to Make Security Protocols Work for Humans

XAIR: A Framework of Explainable AI in Augmented Reality

Digital Platform Regulation

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