Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
discussion

Software Engineering for Responsible AI

Published: 01 April 2023 Publication History

Abstract

The unique characteristics of artificial intelligence (AI) systems pose new challenges to traditional software engineering approaches. Thus, new software engineering approaches are required to develop AI systems in a responsible manner.

References

[1]
M. Shaw and L. Zhu, “Can software engineering harness the benefits of advanced AI?”IEEE Softw., vol. 39, no. 6, pp. 99–104, Nov./Dec.2022.
[2]
Q. Lu, L. Zhu, X. Xu, J. Whittle, and Z. Xing, “Towards a roadmap on software engineering for responsible AI,” in Proc. 1st Int. Conf. AI Eng., Softw. Eng. AI, May 2022, pp. 101–112.

Cited By

View all
  • (2023)Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive SystemsACM SIGSOFT Software Engineering Notes10.1145/3617946.361795148:4(20-36)Online publication date: 17-Oct-2023

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Computer
Computer  Volume 56, Issue 4
April 2023
141 pages

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 April 2023

Qualifiers

  • Discussion

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Oct 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive SystemsACM SIGSOFT Software Engineering Notes10.1145/3617946.361795148:4(20-36)Online publication date: 17-Oct-2023

View Options

View options

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media