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Software Engineering of Machine Learning Systems

Published: 20 January 2023 Publication History

Abstract

Seeking to make machine learning more dependable.

References

[1]
Aggarwal, R. et al. Diagnostic accuracy of deep learning in medical imaging: A systematic review and meta-analysis. Digit. Med. 4, 65 (2021).
[2]
Grother, P. et al. Face Recognition Vendor Test (FRVT). National Institute of Standards and Technology, (Dec. 2019).
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Kleinberg, M. et al. Inherent Trade-Offs in the Fair Determination of Risk Scores. CoRR, (2016).
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Krakovna, V. and Uesato, J. et al. Specification gaming: The flip side of AI ingenuity. DeepMind Blog, (Apr. 2020).
[5]
Mehrabi, N. and Morstatter, F. et al. A Survey on Bias and Fairness in Machine Learning, CoRR, (2019).
[6]
Nayak, P. MUM: A new AI milestone for understanding information. The Keyword (Google Blog), (May 2021).
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Nelson, B. et al. Exploiting Machine Learning to Subvert Your Spam Filter. In Proceedings of LEET'08, (2008).
[8]
Partnership on AI, Artificial Intelligence Incident Database (2021); https://incidentdatabase.ai/

Cited By

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  • (2024)An Exploratory Study on Machine Learning Model ManagementACM Transactions on Software Engineering and Methodology10.1145/368884134:1(1-31)Online publication date: 16-Aug-2024
  • (2024)Exploring AI for Vulnerability Detection and Repair2024 Cyber Awareness and Research Symposium (CARS)10.1109/CARS61786.2024.10778769(1-9)Online publication date: 28-Oct-2024
  • (2024)Requirements Elicitation for Machine Learning Applications: A Research Preview2024 Conference on AI, Science, Engineering, and Technology (AIxSET)10.1109/AIxSET62544.2024.00042(218-221)Online publication date: 30-Sep-2024
  • Show More Cited By

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Published In

cover image Communications of the ACM
Communications of the ACM  Volume 66, Issue 2
February 2023
104 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3581931
  • Editor:
  • James Larus
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 January 2023
Published in CACM Volume 66, Issue 2

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Cited By

View all
  • (2024)An Exploratory Study on Machine Learning Model ManagementACM Transactions on Software Engineering and Methodology10.1145/368884134:1(1-31)Online publication date: 16-Aug-2024
  • (2024)Exploring AI for Vulnerability Detection and Repair2024 Cyber Awareness and Research Symposium (CARS)10.1109/CARS61786.2024.10778769(1-9)Online publication date: 28-Oct-2024
  • (2024)Requirements Elicitation for Machine Learning Applications: A Research Preview2024 Conference on AI, Science, Engineering, and Technology (AIxSET)10.1109/AIxSET62544.2024.00042(218-221)Online publication date: 30-Sep-2024
  • (2024)Detection and Asynchronous Flow Prediction in a MOOCSN Computer Science10.1007/s42979-024-02838-w5:5Online publication date: 29-May-2024
  • (2024)Knowledge-enhanced software refinement: leveraging reinforcement learning for search-based quality engineeringAutomated Software Engineering10.1007/s10515-024-00456-731:2Online publication date: 25-Jun-2024
  • (2023)Creative product design of ceramic technology culture integrated with machine learningSixth International Conference on Computer Information Science and Application Technology (CISAT 2023)10.1117/12.3004077(167)Online publication date: 11-Oct-2023
  • (2023)Design and Implementation of an Intelligent Machine Learning System Based on Artificial Intelligence Computing2023 2nd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI)10.1109/ICDACAI59742.2023.00141(707-711)Online publication date: 17-Oct-2023
  • (2023)Impacts of Catastrophic Forgetting: From a Machine Learning Engineering Perspective2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)10.1109/CSCE60160.2023.00010(01-08)Online publication date: 24-Jul-2023

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