Trends in explanations: Understanding and debugging data-driven systems
Publication
, Journal Article
Glavic, B; Meliou, A; Roy, S
Published in: Foundations and Trends in Databases
August 2, 2021
Humans reason about the world around them by seeking to understand why and how something occurs. The same principle extends to the technology that so many of human activities increasingly rely on. Issues of trust, transparency, and understandability are critical in promoting adoption and proper use of systems. However, with increasing complexity of the systems and technologies we use, it is hard or even impossible to comprehend their function and behavior, and justify surprising observations through manual investigation alone. Explanation support can ease humans' interactions with technology: Explanations can help users understand a system's function, justify system results, and increase their trust in automated decisions.
Duke Scholars
Published In
Foundations and Trends in Databases
DOI
EISSN
1931-7891
ISSN
1931-7883
Publication Date
August 2, 2021
Volume
11
Issue
3
Start / End Page
226 / 318
Citation
APA
Chicago
ICMJE
MLA
NLM
Glavic, B., Meliou, A., & Roy, S. (2021). Trends in explanations: Understanding and debugging data-driven systems. Foundations and Trends in Databases, 11(3), 226–318. https://doi.org/10.1561/1900000074
Glavic, B., A. Meliou, and S. Roy. “Trends in explanations: Understanding and debugging data-driven systems.” Foundations and Trends in Databases 11, no. 3 (August 2, 2021): 226–318. https://doi.org/10.1561/1900000074.
Glavic B, Meliou A, Roy S. Trends in explanations: Understanding and debugging data-driven systems. Foundations and Trends in Databases. 2021 Aug 2;11(3):226–318.
Glavic, B., et al. “Trends in explanations: Understanding and debugging data-driven systems.” Foundations and Trends in Databases, vol. 11, no. 3, Aug. 2021, pp. 226–318. Scopus, doi:10.1561/1900000074.
Glavic B, Meliou A, Roy S. Trends in explanations: Understanding and debugging data-driven systems. Foundations and Trends in Databases. 2021 Aug 2;11(3):226–318.
Published In
Foundations and Trends in Databases
DOI
EISSN
1931-7891
ISSN
1931-7883
Publication Date
August 2, 2021
Volume
11
Issue
3
Start / End Page
226 / 318