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Requirements engineering for Machine Learning
Industrial AI Podcast
English - May 17, 2023 22:01 - 53 minutes - 43.4 MBTechnology machine learning maschinenbau industrie künstliche intelligenz industrial ai artificial intelligence data ai podcast siemens Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Markus wrote an interesting article about the topic. Machine learning (ML) is used increasingly in real-world applications. In this paper, we describe our ongoing endeavor to define characteristics and challenges unique to Requirements Engineering (RE) for ML-based systems. As a first step, we interviewed four data scientists to understand how ML experts approach elicitation, specification, and assurance of requirements and expectations. The results show that changes in the development paradigm, i.e., from coding to training, also demands changes in RE.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Our guest:
Markus Borg ([more](https://www.linkedin.com/in/mrksbrg/))
**Shownotes:**
The article Markus mentioned ([more](https://arxiv.org/abs/1908.04674))
Peter Seeberg talked to Markus Borg from Sweden. Their topic: Requirements Engineering for Machine Learning projects. Markus shared his approaches and ideas with us.
Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co.
We thank our new partner Siemens
Our guest:
Markus Borg (more)
Shownotes:
The article Markus mentioned (more)