Who Has an Interest in "Public Interest Technology"? Critical Questions for Working with Local Governments & Impacted Communities

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Local governments use a wide array of software, algorithms, and data systems across domains such as policing, probation, child protective services, courts, education, public employment services, homelessness services, etc. A growing body of work in CSCW and HCI has emerged to study, design, or demonstrate the boundaries of these technologies, oftentimes working with local governments. Local governments ostensibly aim to serve the public. So, some prior work has collaborated with local governments in the name of the public interest. However, others argue that local governments primarily police poor, minoritized communities, especially with increasingly limited funding for public services such as education or housing. These tensions raise critical questions: (How) should researchers collaborate with local governments? When should we oppose governments? How do we ethically engage with communities without being extractive? In this one-day workshop, we will bring together researchers from academia, the public sector, and community organizations to first take stock of work around public interest technologies. We will reflect on critical questions to orient the future of public interest technology and how we can work with, around, or against local governments while centering impacted communities.
TitelCSCW 2022 - Conference Companion Publication of the 2022 Computer Supported Cooperative Workand Social Computing
Antal sider5
ForlagAssociation for Computing Machinery
ISBN (Elektronisk)9781450391900
StatusUdgivet - 2022
Begivenhed25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022 - Virtual, Online, Taiwan
Varighed: 8 nov. 202222 nov. 2022


Konference25th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2022
ByVirtual, Online

Bibliografisk note

Funding Information:
Motahhare Eslami is an assistant professor at the School of Computer Science, Human-Computer Interaction Institute (HCII), and Institute for Software Research (ISR), at Carnegie Mellon University. She earned her Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign. Motahhare’s research goal is to investigate the existing accountability challenges in algorithmic systems and to empower the users of algorithmic systems, particularly those who belong to marginalized communities or those whose decisions impact marginalized communities, make transparent, fair, and informed decisions in interaction with algorithmic systems. Motahhare’s work has been recognized with a Google Ph.D. Fellowship, Best Paper Award at ACM CHI, and has been covered in mainstream media such as Time, The Washington Post, Huffing-ton Post, the BBC, Fortune, and Quartz. Motahhare’s research is supported by NSF, Amazon, Google, Facebook, and Cisco.

Publisher Copyright:
© 2022 Owner/Author.

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