Abstract
Case-based explanation (CBE) goes by many names, and in this paper I will argue why we should tend towards alternative choices when designing XAI systems. My argumentation for the stated claim rests on four broad points: (1) people seem to dislike CBE; (2) CBE relies on weak semantic linkage; (3) CBE is epistemically outmatched; (4) CBE is restrictive. This paper expounds on these arguments and concludes with thoughts about characteristics of possible alternatives.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 175-180 |
| Number of pages | 6 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3124 |
| State | Published - 2022 |
| Event | Joint International Conference on Intelligent User Interfaces Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE, IUI-WS 2022 - Virtual, Helsinki, Finland Duration: Mar 21 2022 → Mar 22 2022 |
All Science Journal Classification (ASJC) codes
- General Computer Science