activity
20142022
most citedFairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

465 citations · 1.3k across the 19 of their papers we have counts for

collaborators

21 papers

cs.HC2022★ 12 cited

Respect as a Lens for the Design of AI Systems

William Seymour, Max Van Kleek, Reuben Binns +1

Critical examinations of AI systems often apply principles such as fairness, justice, accountability, and safety, which is reflected in AI regulations such as the EU AI Act. Are su…

cs.CR2022★ 82 cited

Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels

Konrad Kollnig, Anastasia Shuba, Max Van Kleek +2

Tracking is a highly privacy-invasive data collection practice that has been ubiquitous in mobile apps for many years due to its role in supporting advertising-based revenue models…

cs.HC2021★ 90 cited

Exploring Interactions Between Trust, Anthropomorphism, and Relationship Development in Voice Assistants

William Seymour, Max Van Kleek

Modern conversational agents such as Alexa and Google Assistant represent significant progress in speech recognition, natural language processing, and speech synthesis. But as thes…

cs.CY2021★ 15 cited

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps

Konrad Kollnig, Reuben Binns, Pierre Dewitte +5

Third-party tracking allows companies to collect users' behavioural data and track their activity across digital devices. This can put deep insights into users' private lives into…

cs.HC2021★ 26 cited

I Want My App That Way: Reclaiming Sovereignty Over Personal Devices

Konrad Kollnig, Siddhartha Datta, Max Van Kleek

Dark patterns in mobile apps take advantage of cognitive biases of end-users and can have detrimental effects on people's lives. Despite growing research in identifying remedies fo…

cs.HC2021★ 37 cited

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation

Nitin Agrawal, Reuben Binns, Max Van Kleek +2

Homomorphic encryption, secure multi-party computation, and differential privacy are part of an emerging class of Privacy Enhancing Technologies which share a common promise: to pr…

cs.CY2020★ 1 cited

Digitalization of COVID-19 pandemic management and cyber risk from connected systems

Petar Radanliev, David De Roure, Max Van Kleek

What makes cyber risks arising from connected systems challenging during the management of a pandemic? Assuming that a variety of cyber-physical systems are already operational-col…

cs.HC2020

Strangers in the Room: Unpacking Perceptions of 'Smartness' and Related Ethical Concerns in the Home

William Seymour, Reuben Binns, Petr Slovak +2

The increasingly widespread use of 'smart' devices has raised multifarious ethical concerns regarding their use in domestic spaces. Previous work examining such ethical dimensions…

cs.HC2020

Super-reflective Data: Speculative Imaginings of a World Where Data Works for People

Max Van Kleek

It's the year 2020, and every space and place on- and off-line has been augmented with digital things that observe, record, transmit, and compute, for the purposes of recording end…

cs.HC2020★ 25 cited

Does Siri Have a Soul? Exploring Voice Assistants Through Shinto Design Fictions

William Seymour, Max Van Kleek

It can be difficult to critically reflect on technology that has become part of everyday rituals and routines. To combat this, speculative and fictional approaches have previously…

cs.HC2020★ 37 cited

Informing the Design of Privacy-Empowering Tools for the Connected Home

William Seymour, Martin J. Kraemer, Reuben Binns +1

Connected devices in the home represent a potentially grave new privacy threat due to their unfettered access to the most personal spaces in people's lives. Prior work has shown th…

cs.HC2020★ 97 cited

'I Just Want to Hack Myself to Not Get Distracted': Evaluating Design Interventions for Self-Control on Facebook

Ulrik Lyngs, Kai Lukoff, Petr Slovak +6

Beyond being the world's largest social network, Facebook is for many also one of its greatest sources of digital distraction. For students, problematic use has been associated wit…

cs.HC2019★ 1 cited

Informing The Future of Data Protection in Smart Homes

Martin J Kraemer, William Seymour, Reuben Binns +2

Recent changes to data protection regulation, particularly in Europe, are changing the design landscape for smart devices, requiring new design techniques to ensure that devices ar…

cs.HC2019★ 216 cited

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools

Ulrik Lyngs, Kai Lukoff, Petr Slovak +5

Many people struggle to control their use of digital devices. However, our understanding of the design mechanisms that support user self-control remains limited. In this paper, we…

cs.HC2019★ 106 cited

`I make up a silly name': Understanding Children's Perception of Privacy Risks Online

Jun Zhao, Ge Wang, Carys Dally +4

Children under 11 are often regarded as too young to comprehend the implications of online privacy. Perhaps as a result, little research has focused on younger kids' risk recogniti…

cs.HC2018

Some HCI Priorities for GDPR-Compliant Machine Learning

Michael Veale, Reuben Binns, Max Van Kleek

In this short paper, we consider the roles of HCI in enabling the better governance of consequential machine learning systems using the rights and obligations laid out in the recen…

cs.CY2018★ 2 cited

"So, Tell Me What Users Want, What They Really, Really Want!"

Ulrik Lyngs, Reuben Binns, Max Van Kleek +1

Equating users' true needs and desires with behavioural measures of 'engagement' is problematic. However, good metrics of 'true preferences' are difficult to define, as cognitive b…

cs.CY2018

Measuring third party tracker power across web and mobile

Reuben Binns, Jun Zhao, Max Van Kleek +1

Third-party networks collect vast amounts of data about users via web sites and mobile applications. Consolidations among tracker companies can significantly increase their individ…

cs.CY2018★ 465 cited

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making

Michael Veale, Max Van Kleek, Reuben Binns

Calls for heightened consideration of fairness and accountability in algorithmically-informed public decisions---like taxation, justice, and child protection---are now commonplace.…

cs.CY2017★ 78 cited

Like trainer, like bot? Inheritance of bias in algorithmic content moderation

Reuben Binns, Michael Veale, Max Van Kleek +1

The internet has become a central medium through which `networked publics' express their opinions and engage in debate. Offensive comments and personal attacks can inhibit particip…

cs.SI2014★ 14 cited

Collective Intelligence in Citizen Science -- A Study of Performers and Talkers

Ramine Tinati, Elena Simperl, Markus Luczak-Roesch +2

The recent emergence of online citizen science is illustrative of an efficient and effective means to harness the crowd in order to achieve a range of scientific discoveries. Funda…