Trends in explanations: Understanding and debugging data-driven systems

Journal Article (Review;Journal)

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.

Full Text

Duke Authors

Cited Authors

  • Glavic, B; Meliou, A; Roy, S

Published Date

  • August 2, 2021

Published In

Volume / Issue

  • 11 / 3

Start / End Page

  • 226 - 318

Electronic International Standard Serial Number (EISSN)

  • 1931-7891

International Standard Serial Number (ISSN)

  • 1931-7883

Digital Object Identifier (DOI)

  • 10.1561/1900000074

Citation Source

  • Scopus