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Fair Decision Making via Automated Repair of Decision Trees
Zhang Jiang, Ivan Beschastnikh, Sergey Mechtaev, and Abhik Roychoudhury
Fair-SSL: Building fair ML Software with less data
Joymallya Chakraborty, Suvodep Majumder, and Huy Tu
Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness
Max Hort and Federica Sarro
Keynote Speaker: Dr. Angela D.R. Smith
Detecting Obstacles to Collaboration in an Online Participatory Democracy Platform: A Use-case Driven Analysis
William Aboucava, Rafael Angarita, and Valérie Issamy
Making Recruitment More Inclusive: Unfairness monitoring for a job matching machine learning algorithm
Sebastien Delecraz, Loukman Eltarr, Martin Becuwe, Henri Bouxin, Nicolas Boutin, and Olivier Oullier
A discussion of open issues in fair and equitable data and technology.
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Panelists: Marc Canellas (Office of the Public Defender for Arlington County and Falls Church) Bruce Hedin (Hedin B Consulting) Nathan Adams
Panelists:
Marc Canellas (Office of the Public Defender for Arlington County and Falls Church)
Bruce Hedin (Hedin B Consulting)
Nathan Adams
Fair Decision Making via Automated Repair of Decision Trees Zhang Jiang, Ivan Beschastnikh, Sergey Mechtaev, and Abhik Roychoudhury Fair-SSL: Building fair ML Software with less data Joymallya Chakraborty, Suvodep Majumder, and Huy Tu Privileged and Unprivileged Groups: An Empirical Study on the Impact of the Age Attribute on Fairness Max Hort and Federica Sarro
Centering the Margins: An inquiry into equity, justice, and society Abstract: Participatory design (PD) is idealized as a democratic approach to creativity and design thinking, yet in many instances, this method translates to a privileged activity. Although this method has become what feels like an ethical answer to individuals at the margins, the sheer use of PD inherently creates an imbalance in power and equality between trained designer/academic researcher and those at the focus of the design. As many marginalized communities have historically been exploited by research in the ivory tower, PD engagements can be greatly steeped in these power dynamics and any cultural differences between researcher and community/ individual, despite careful attention and focus that might be placed on making PD inclusive. In this talk, I focus the attention of the HCI and design community on more equitable and ethical PD engagements examining how we conduct design research with certain communities and how deficit approaches are embedded in our research practices, such as houseless emerging adults attempting to break the cycle of poverty. By reflecting on these tensions as a call to action, I hope to deconstruct the privileges of our actions and re-center the focus of design on individuals who are historically underserved.
Abstract: Participatory design (PD) is idealized as a democratic approach to creativity and design thinking, yet in many instances, this method translates to a privileged activity. Although this method has become what feels like an ethical answer to individuals at the margins, the sheer use of PD inherently creates an imbalance in power and equality between trained designer/academic researcher and those at the focus of the design. As many marginalized communities have historically been exploited by research in the ivory tower, PD engagements can be greatly steeped in these power dynamics and any cultural differences between researcher and community/ individual, despite careful attention and focus that might be placed on making PD inclusive. In this talk, I focus the attention of the HCI and design community on more equitable and ethical PD engagements examining how we conduct design research with certain communities and how deficit approaches are embedded in our research practices, such as houseless emerging adults attempting to break the cycle of poverty. By reflecting on these tensions as a call to action, I hope to deconstruct the privileges of our actions and re-center the focus of design on individuals who are historically underserved.
Detecting Obstacles to Collaboration in an Online Participatory Democracy Platform: A Use-case Driven Analysis William Aboucava, Rafael Angarita, and Valérie Issamy Making Recruitment More Inclusive: Unfairness monitoring for a job matching machine learning algorithm Sebastien Delecraz, Loukman Eltarr, Martin Becuwe, Henri Bouxin, Nicolas Boutin, and Olivier Oullier
Panelists: Geraldine Fitzpatrick (TU Wien) Jaye Nias (Spelman College) Andrew Begel (Microsoft Research) Jie Zhang (University College London)
Geraldine Fitzpatrick (TU Wien)
Jaye Nias (Spelman College)
Andrew Begel (Microsoft Research)
Jie Zhang (University College London)