Advancing Human-Centred Algorithm Design Through Reflective Practice

Simple item page
dc.contributor.authorRaats, Kaspar
dc.date.accessioned2023-12-26T18:36:22Z
dc.date.available2023-12-26T18:36:22Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.084
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other0f0fd895-ce17-4f06-9784-5bf6888be9a3
dc.identifier.urihttps://hdl.handle.net/10125/106461
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectResponsible Innovation in Collaborative, Connected, and Intelligent Systems: Design, Implementation, and Governance
dc.subjectautonomous vehicles
dc.subjectdesign ethnography
dc.subjecthuman-centred algorithm design
dc.subjectreflective practice
dc.titleAdvancing Human-Centred Algorithm Design Through Reflective Practice
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractAutonomous vehicle (AV) algorithms tend to be designed with a techno-solutionism mindset, causing algorithms to fail in real-world applications. This can be attributed to algorithm developers’ lack of routines and knowledge to consider the environments and circumstances AVs are intended to partake in. This paper argues for shifting towards a more responsible human-centred algorithm design (HCAD). It addresses this by demonstrating the different reflective practice qualities obtained by engaging algorithm designers from four companies with ethnographic materials. The study shows that Design Ethnographic (DE) approach allowed developers to consider the value of AVs from sociotechnical perspectives and facilitated collaborative learning and debating about what problems truly need solving to bring societal value. This demonstrates how ethnographically infused HCAD helps expand algorithm developers’ opportunities to participate responsibly in value co-creation for society.
dcterms.extent10 pages
prism.startingpage703

Files

Collections

Responsible Innovation in Collaborative, Connected, and Intelligent Systems: Design, Implementation, and Governance