@inproceedings{20e743cbec504633a0f6de542cd432cd,
title = "Human-in-the-Loop Learning Methods Toward Safe DL-Based Autonomous Systems: A Review",
abstract = "The involvement of humans during the training phase can play a crucial role in mitigating some safety issues of Deep learning (DL)-based autonomous systems. This paper reviews the main concepts and methods for human-in-the-loop learning as a first step towards the development of a framework for human-machine teaming through safe learning and anomaly prediction. The methods come with their own set of challenges such as the variation in the training data provided by the human and test-time distributions, the cost involved to keep the human in the loop during the long training phase and the imperfection of the human to deal with unforeseen circumstances and define safer policies.",
keywords = "AI safety, Deep learning, Human-in-the-loop learning",
author = "Rajendran, \{Prajit T.\} and Huascar Espinoza and Agnes Delaborde and Chokri Mraidha",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021 ; Conference date: 07-09-2021 Through 10-09-2021",
year = "2021",
doi = "10.1007/978-3-030-83906-2\_20",
language = "English",
isbn = "9783030839055",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "251--264",
editor = "Ibrahim Habli and Mark Sujan and Simos Gerasimou and Erwin Schoitsch and Friedemann Bitsch",
booktitle = "Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, Proceedings",
address = "Germany",
}