Designing AI for Explainability and Verifiability: A Value Sensitive Design Approach to Avoid Artificial Stupidity in Autonomous Vehicles

Download Edit this record How to cite View on PhilPapers
One of the primary, if not most critical, difficulties in the design and implementation of autonomous systems is the black-boxed nature of the decision-making structures and logical pathways of autonomous systems. For this reason, the values of stakeholders become of particular significance given the risks posed by opaque structures of intelligent agents (IAs). This paper proposes the Value Sensitive Design (VSD) approach as a principled framework for incorporating these values in design. The example of autonomous vehicles is used as a case study for how VSD offers a systematic way for engineering teams to formally incorporate existing technical solutions towards ethical design, while simultaneously remaining pliable to emerging issues and needs. It is concluded that the VSD methodology offers at least a strong enough foundation from which designers can begin to anticipate design needs and formulate salient design flows that can adapted to changing ethical landscapes.
PhilPapers/Archive ID
Upload history
Archival date: 2020-07-18
View other versions
Added to PP index

Total views
23 ( #51,043 of 52,923 )

Recent downloads (6 months)
23 ( #27,240 of 52,923 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.