Paper Info
Title
Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda.
Abstract
Advances in artificial intelligence, sensors and big data management have far-reaching societal impacts. As these systems augment our everyday lives, it becomes increasing-ly important for people to understand them and remain in control. We investigate how HCI researchers can help to develop accountable systems by performing a literature analysis of 289 core papers on explanations and explaina-ble systems, as well as 12,412 citing papers. Using topic modeling, co-occurrence and network analysis, we mapped the research space from diverse domains, such as algorith-mic accountability, interpretable machine learning, context-awareness, cognitive psychology, and software learnability. We reveal fading and burgeoning trends in explainable systems, and identify domains that are closely connected or mostly isolated. The time is ripe for the HCI community to ensure that the powerful new autonomous systems have intelligible interfaces built-in. From our results, we propose several implications and directions for future research to-wards this goal.
Year
DOI
Venue
2018
10.1145/3173574.3174156
CHI
Keywords
Field
DocType
Intelligibility,explanations,explainable artificial intelligence,interpretable machine learning
Data science,Computer science,Accountability,Software,Human–computer interaction,Autonomous system (Internet),Big data management,Topic model,Network analysis,Learnability
Conference
ISBN
Citations 
PageRank 
978-1-4503-5620-6
26
0.97
References 
Authors
116
5
Search Limit
100116
Name
Order
Citations
PageRank
Ashraf M. Abdul1403.82
Jo Vermeulen242026.37
Danding Wang3382.79
Brian Y. Lim432723.95
Mohan Kankanhalli53825299.56