Quality Assurance for AI-Based Systems: Overview and Challenges (Introduction to Interactive Session)

Author:

Felderer Michael,Ramler Rudolf

Publisher

Springer International Publishing

Cited by 31 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of an Effective Safety Assessment Capable of Measuring the Safety of AI-Based Systems.;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

2. What can we learn from quality assurance badges in open-source software?;Science China Information Sciences;2024-03-26

3. Generative AI And Software Variability - A Research Vision;Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems;2024-02-07

4. Requirements and software engineering for automotive perception systems: an interview study;Requirements Engineering;2024-01-24

5. Navigating the Upcoming European Union AI Act;IEEE Software;2024-01

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