activity
20172026
most cited'It's Reducing a Human Being to a Percentage'; Perceptions of Justice in Algorithmic Decisions

649 citations · 1.2k across the 17 of their papers we have counts for

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12 papers · 1 filter

cs.HC20265 cited

Respectful Things: Adding Social Intelligence to 'Smart' Devices

Max Van Kleek, William Seymour, Reuben Binns +1

In this paper, we propose that the idea of devices respecting their end-users may serve as a strong design goal for highly personal and intimate smart devices. We ask what respect…

cs.HC20259 cited

Access Denied: Meaningful Data Access for Quantitative Algorithm Audits

Juliette Zaccour, Reuben Binns, Luc Rocher

Independent algorithm audits hold the promise of bringing accountability to automated decision-making. However, third-party audits are often hindered by access restrictions, forcin…

cs.HC20251 cited

Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond

Lin Kyi, Amruta Mahuli, M. Six Silberman +3

Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these a…

cs.HC2024

The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems

Sruthi Viswanathan, Seray Ibrahim, Ravi Shankar +3

Parenting brings emotional and physical challenges, from balancing work, childcare, and finances to coping with exhaustion and limited personal time. Yet, one in three parents neve…

cs.HC2024

"Diversity is Having the Diversity": Unpacking and Designing for Diversity in Applicant Selection

Neil Natarajan, Sruthi Viswanathan, Reuben Binns +1

When selecting applicants for scholarships, universities, or jobs, practitioners often aim for a diverse cohort of qualified recipients. However, differing articulations, construct…

cs.HC202137 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…