Demo Data from VLDB 2026 / reviewers in the wild / expert
Blakeley H. Payne
dblp:217/2371
· DBLP profile ↗
4ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-1852-5350ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning › fairness › fairness auditing
algorithmic auditing |
0.3 | 1 | 2018 | TuringBox: An Experimental Platform for the Evaluation of AI Systems · IJCAI 2018 |
Machine learning › Trustworthy machine learning
fairness |
0.3 | 1 | 2018 | TuringBox: An Experimental Platform for the Evaluation of AI Systems · IJCAI 2018 |
Machine learning › Trustworthy machine learning
interpretability |
0.3 | 1 | 2018 | TuringBox: An Experimental Platform for the Evaluation of AI Systems · IJCAI 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Building Solidarity Amid Hostility: Experiences of Fat People in Online CommunitiesabstractOnline communities are important spaces for members of marginalized groups to organize and support one another. To better understand the experiences of fat people - a group whose marginalization often goes unrecognized - in online communities, we conducted 12 semi-structured interviews with fat people. Our participants leveraged online communities to engage in consciousness raising around fat identity, learning to locate ''the problem of being fat'' not within themselves or their own bodies but rather in the oppressive design of the society around them. Participants were then able to use these communities to mitigate everyday experiences of anti-fatness, such as navigating hostile healthcare systems. However, to access these benefits, our participants had to navigate myriad sociotechnical harms, ranging from harassment to discriminatory algorithms. In light of these findings, we suggest that researchers and designers of online communities support selective fat visibility, consider fat people in the design of content moderation systems, and investigate algorithmic discrimination toward fat people. More broadly, we call on researchers and designers to contend with the social and material realities of fat experience, as opposed to the prevailing paradigm of treating fat people as problems to be solved in-and-of-themselves. This requires recognizing fat people as a marginalized social group and actively confronting anti-fatness as it is embedded in the design of technology. Blakeley H. Payne, Jordan Taylor, Katta Spiel, Casey Fiesler |
Proc. ACM Hum. Comput. Interact. | 1 |
| 2023 | Incorporating Ethics in Computing Courses: Barriers, Support, and Perspectives from EducatorsabstractIncorporating ethics into computing education has become a priority for the SIGCSE community. Many computing departments and educators have contributed to this endeavor by creating standalone computing ethics courses or integrating ethics modules and discussions into preexisting curricula. In this study, we hope to support this effort by reporting on computing educators' attitudes toward including ethics in their computing classroom, with a special focus on the structures that hinder or help this endeavor. We surveyed 138 higher education computing instructors to understand their attitudes toward including ethics in their classes, what barriers might be preventing them from doing so, and which structures best support them. We found that even though instructors were generally positive about ethics as a component of computing education, there are specific barriers preventing ethics from being included in some computing courses. In this work, we explore how to alleviate these barriers and outline support structures that could encourage further integration of ethics and computing in higher education. Jessie Smith, Blakeley H. Payne, Shamika Klassen, Dylan Thomas Doyle, Casey Fiesler |
SIGCSE (1) | 2 |
| 2020 | Decoding design agendas: an ethical design activity for middle school studentsabstractIf we expect our children to be driving technology design agendas in the future, we must first help them recognize that opinions and beliefs are baked into the technologies that we create and that these opinions may serve some groups of people more than others. In this paper, we discuss an ethical design activity completed by 19 middle school-aged children. The activity encourages students to see technical systems as socio-technical systems, to engage them in stakeholder analysis, and to apply ethical design tools in order to redesign YouTube. Results indicate students are capable of transforming into critical users and ethical designers of technology. They are able to recognize the underlying design agendas for popular technologies such as YouTube, identify stakeholders who shape those design agendas, and apply an array of tools to reimagine technologies in a more inclusive manner. Daniella DiPaola, Blakeley H. Payne, Cynthia Breazeal |
IDC | 2 |
| 2018 | TuringBox: An Experimental Platform for the Evaluation of AI SystemsabstractWe introduce TuringBox, a platform to democratize the study of AI. On one side of the platform, AI contributors upload existing and novel algorithms to be studied scientifically by others. On the other side, AI examiners develop and post machine intelligence tasks to evaluate and characterize the outputs of algorithms. We outline the architecture of such a platform, and describe two interactive case studies of algorithmic auditing on the platform. Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan |
IJCAI | 2 |