Title
Diagnosing and Addressing Emergent Harms in the Design Process of Public AI and Algorithmic Systems
Author
Nouws, S.J.J. (TU Delft Information and Communication Technology)
Martinez de Rituerto de Troya, I. (TU Delft Information and Communication Technology)
Dobbe, R.I.J. (TU Delft Information and Communication Technology)
Janssen, M.F.W.H.A. (TU Delft Engineering, Systems and Services)
Contributor
Cid, David Duenas (editor)
Department
Engineering, Systems and Services
Date
2023
Abstract
Algorithmic and data-driven systems are increasingly used in the public sector to improve the efficiency of existing services or to provide new services through the newfound capacity to process vast volumes of data. Unfortunately, certain instances also have negative consequences for citizens, in the form of discriminatory outcomes, arbitrary decisions, lack of recourse, and more. These have serious impacts on citizens ranging from material to psychological harms. These harms partly emerge from choices and interactions in the design process. Existing critical and reflective frameworks for technology design do not address several aspects that are important to the design of systems in the public sector, namely protection of citizens in the face of potential algorithmic harms, the design of institutions to ensure system safety, and an understanding of how power relations affect the design, development, and deployment of these systems. The goal of this workshop is to develop these three perspectives and take the next step towards reflective design processes within public organisations. The workshop will be divided into two parts. In the first half we will elaborate the conceptual foundations of these perspectives in a series of short talks. Workshop participants will learn new ways of protecting against algorithmic harms in sociotechnical systems through understanding what institutions can support system safety, and how power relations influence the design process. In the second half, participants will get a chance to apply these lenses by analysing a real world case, and reflect on the challenges in applying conceptual frameworks to practice.
Subject
Artificial Intelligence
data science
design process
institutional design
power analysis
public sector
system safety
To reference this document use:
http://resolver.tudelft.nl/uuid:616f2ec2-20c0-475c-b7eb-1d3ba7d76580
DOI
https://doi.org/10.1145/3598469.3598557
Publisher
Association for Computing Machinery (ACM)
ISBN
9798400708374
Source
Proceedings of the 24th Annual International Conference on Digital Government Research - Together in the Unstable World: Digital Government and Solidarity, DGO 2023
Event
24th Annual International Conference on Digital Government Research - Together in the Unstable World: Digital Government and Solidarity, DGO 2023, 2023-07-11 → 2023-07-14, Gdansk, Poland
Series
ACM International Conference Proceeding Series
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2023 S.J.J. Nouws, I. Martinez de Rituerto de Troya, R.I.J. Dobbe, M.F.W.H.A. Janssen