Abstract
We argue that explanations for "algorithmic decision-making" (ADM) systems can profit by adopting practices that are already used in the learning sciences. We shortly introduce the importance of explaining ADM systems, give a brief overview of approaches drawing from other disciplines to improve explanations, and present the results of our qualitative task-based study incorporating the "six facets of understanding" framework. We close with questions guiding the discussion of how future studies can leverage an interdisciplinary approach.
Original language | English |
---|---|
Publication status | Published - Apr 2023 |
Event | ACM CHI Conference on Human Factors in Computing Systems 2023 - Congress Center Hamburg, Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/ |
Conference
Conference | ACM CHI Conference on Human Factors in Computing Systems 2023 |
---|---|
Abbreviated title | CHI 2023 |
Country/Territory | Germany |
City | Hamburg |
Period | 23/04/23 → 28/04/23 |
Internet address |
Austrian Fields of Science 2012
- 102033 Data mining